GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS
The article explores the prospects for the development of renewable energy sources (RES) in Ukraine, taking into account the territorial remoteness of electricity consumers. The main goal of the work is to determine the most appropriate regions for the implementation of RES, taking into account geog...
Збережено в:
| Дата: | 2025 |
|---|---|
| Автори: | , , |
| Формат: | Стаття |
| Мова: | Англійська |
| Опубліковано: |
Institute of Renewable Energy National Academy of Sciences of Ukraine
2025
|
| Теми: | |
| Онлайн доступ: | https://ve.org.ua/index.php/journal/article/view/526 |
| Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
| Назва журналу: | Vidnovluvana energetika |
| Завантажити файл: | |
Репозитарії
Vidnovluvana energetika| _version_ | 1871103913215655936 |
|---|---|
| author | Zaichenko , S. Borychenko , O. Trachuk , A. |
| author_facet | Zaichenko , S. Borychenko , O. Trachuk , A. |
| author_institution_txt_mv | [
{
"author": "S. Zaichenko ",
"institution": "National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine; Educational and Scientific Institute of Energy Saving and Energy Management, Kyiv, Ukraine"
},
{
"author": "O. Borychenko ",
"institution": "National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine; Educational and Scientific Institute of Energy Saving and Energy Management, Kyiv, Ukraine"
},
{
"author": "A. Trachuk ",
"institution": "National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine; Educational and Scientific Institute of Energy Saving and Energy Management, Kyiv, Ukraine"
}
] |
| author_sort | Zaichenko , S. |
| baseUrl_str | https://ve.org.ua/index.php/journal/oai |
| collection | OJS |
| datestamp_date | 2026-07-18T06:32:21Z |
| description | The article explores the prospects for the development of renewable energy sources (RES) in Ukraine, taking into account the territorial remoteness of electricity consumers. The main goal of the work is to determine the most appropriate regions for the implementation of RES, taking into account geographical features and energy consumption needs. The study analyzed spatial data on available RES resources, assessed the impact of the location of energy facilities on their efficiency, and modeled ways to optimize energy transmission to consumers.
The work uses methods of geoinformation analysis and cartographic modeling. The results reveal the most promising regions for the location of renewable energy facilities, emphasize the role of remoteness in the formation of energy losses, and offer practical solutions for reducing electricity transportation costs.
The study provides valuable recommendations for strategic planning of renewable energy development, in particular for government agencies, investors, and energy professionals. |
| doi_str_mv | 10.36296/1819-8058.2025.2(81).58-66 |
| first_indexed | 2025-07-17T11:39:59Z |
| format | Article |
| fulltext |
58
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
UDC 621.311 https://doi.org/10.36296/1819-8058.2025.2(81).58-66
GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE
ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS
OF ELECTRICITY CONSUMERS
Received Feb. 21, 2025; accepted Jun. 27, 2025
Available online Jun. 30, 2025
Zaichenko S.1, Borychenko O.2, Trachuk A.3
Author for correspondence: Trachuk Andrii,
e-mail: atrachuk1990@gmail.com
The article explores the prospects for the development of re-
newable energy sources (RES) in Ukraine, taking into account
the territorial remoteness of electricity consumers. The main
goal of the work is to determine the most appropriate regions
for the implementation of RES, taking into account geograph-
ical features and energy consumption needs. The study ana-
lyzed spatial data on available RES resources, assessed the impact of the location of energy facilities on their effi-
ciency, and modeled ways to optimize energy transmission to consumers.
The work uses methods of geoinformation analysis and cartographic modeling. The results reveal the most prom-
ising regions for the location of renewable energy facilities, emphasize the role of remoteness in the formation of
energy losses, and offer practical solutions for reducing electricity transportation costs.
The study provides valuable recommendations for strategic planning of renewable energy development, in partic-
ular for government agencies, investors, and energy professionals.
Keywords: geoinformation analysis, renewable energy sources, remote consumers, energy planning, GIS, energy
infrastructure, economic efficiency, sustainable development.
ГЕОІНФОРМАЦІЙНИЙ АНАЛІЗ ПЕРСПЕКТИВ РОЗВИТКУ ВІДНОВЛЮВАЛЬНИХ ДЖЕРЕЛ ЕНЕРГІЇ
В УКРАЇНІ З УРАХУВАННЯМ ВІДДАЛЕНОСТІ СПОЖИВАЧІВ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ
Отримано 21 лют. 2025 р.; рекомендовано до публікації 27 черв. 2025 р.
Доступно онлайн 30 черв. 2025 р.
Зайченко С. В.1, Бориченко О. В. 2, Трачук А. Р.3
Автор для кореспонденції: Трачук Андрій,
e-mail: atrachuk1990@gmail.com
У статті досліджено перспективи розвитку відновлю-
ваних джерел енергії (ВДЕ) в Україні з урахуванням тери-
торіальної віддаленості споживачів електричної енер-
гії. Основна мета роботи полягає у визначенні найбільш доцільних регіонів для впровадження ВДЕ з
урахуванням географічних особливостей та потреб енергоспоживання. В рамках дослідження прове-
дено аналіз просторових даних про наявність у ресурсах ВДЕ, оцінено вплив розміщення енергетичних
об'єктів на їх ефективність та модельовано шляхи оптимізації передачі енергії споживачів.
У роботі застосовані методи геоінформаційного аналізу та картографічного моделювання. Отримані
результати виявляють найбільш перспективні регіони для розміщення об'єктів ВДЕ, відзначають роль
віддаленості у формуванні енергетичних втрат та пропонують практичні рішення для зменшення ви-
трат на транспортування електроенергії.
Дослідження надає цінні рекомендації для стратегічного планування розвитку ВДЕ, зокрема для урядо-
вих органів, інвесторів та фахівців у галузі енергетики.
1 Dr. of Sciences (Tech.), Professor
http://orcid.org/0000-0002-8446-5408
2 Cand. of Sciences (Tech.)
http://orcid.org/0000-0002-6127-2945
3 PhD student
http://orcid.org/0000-0001-8755-605X
1, 2, 3 National Technical University of Ukraine
«Igor Sikorsky Kyiv Polytechnic Institute», Kyiv,
Ukraine;
Educational and Scientific Institute of Energy
Saving and Energy Management, Kyiv, Ukraine
1 д-р. техн. наук, професор
http://orcid.org/0000-0002-0440-4251
2 аспірант
http://orcid.org/0009-0003-7934-3398
1, 2 Інститут загальної енергетики Національної
Академії Наук України, Київ, Україна
59
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
Ключові слова: геоінформаційний аналіз, відновлювані джерела енергії, віддалені споживачі, енергетич-
не планування, GIS, енергетична інфраструктура, економічна ефективність, сталий розвиток.
List of abbreviations and symbols used:
RES - renewable energy sources
GIS - geographic information systems
PV – Photovoltaic
WT – WindTurbine
Introduction. Sustainable development and ensuring en-
ergy security remain key challenges for Ukraine in the con-
text of the global climate crisis, dependence on conven-
tional energy resources, and the need to integrate into the
European energy space. Renewable energy sources (RES)
are an important component of clean energy, which con-
tributes to reducing greenhouse gas emissions, increasing
energy independence, and ensuring a sustainable energy
supply.
In world research, considerable attention is paid to the is-
sues of implementing RES, especially using geographic in-
formation systems (GIS) for modeling the location of gen-
eration facilities, assessing resource potential and
optimizing energy costs (U. Shahzad, A. Qazi, NL Panwar).
In Ukraine, there is also a growing interest in the develop-
ment of RES, as evidenced by the works (Kudrya S.O., Budko
V.I., Velichko V.V., Zhovmir M.M. Telizhenko O. M.), which
analyze the technical, economic and environmental aspects
of this area. However, the issue of the influence of the spa-
tial location of energy facilities and the remoteness of con-
sumers on the efficiency of RES still requires more detailed
study [1-4].
Previous studies have highlighted the need for an inte-
grated planning approach to ensure sustainable develop-
ment when scaling up renewable energy sources (RES). The
focus has been on analysing the trade-offs between the de-
ployment of RES and the maintenance of key ecosystem
services such as biodiversity, water regulation and carbon
sequestration. However, insufficient attention has been
paid to regional specificities, including political and social
constraints that significantly affect the implementation of
these initiatives. One key challenge has been the limited
use of spatial analysis tools, which has made it difficult to
identify areas where RES expansion could pose threats to
ecosystems. Although GIS technologies have begun to be
used to identify such trade-offs, their integration into the
overall planning concept has remained incomplete.
Previous studies have also addressed the importance of
aligning policy strategies with public expectations, and
have laid the foundation for future work aimed at develop-
ing integrated solutions. Such approaches should combine
spatial analysis, environmental priorities, and regional po-
litical realities, ensuring an optimal balance between en-
ergy and environmental interests [5–8].
As we can see, previous research in the field of renewable
energy focused on improving methods for assessing the po-
tential of projects, taking into account aspects such as en-
vironmental conditions, technical viability and social
factors. However, traditional approaches to assessment
were often limited by static models that could not dynami-
cally respond to variable factors affecting the performance
of projects. This made it difficult for investors and planners
to make informed decisions, as they lacked up-to-date and
adapted information to optimize projects. One of the main
problems was the use of geographic information systems
(GIS), which until now were static and did not allow for the
creation of interactive models for analyzing different pro-
ject development options. This became an obstacle to ef-
fectively assessing the potential of wind and solar power
plants, where geographical location has a significant impact
on performance. In addition, previous research did not al-
ways take into account the need to involve all stakeholders
in the project assessment process. The lack of convenient
and interactive tools for interaction between investors,
government agencies and planners complicated decision-
making and delayed project implementation. Thus, previ-
ous approaches were not flexible enough for modern re-
quirements for renewable energy, which led to the need to
develop innovative solutions. Modern dynamic web-based
GIS tools are able to integrate various data in real time and
allow for more informed and adaptive decisions in the pro-
cess of planning and implementing projects in the field of
renewable energy [9-12].
In addition, as can be seen from previous studies in the field
of renewable energy, the main focus was on assessing the
potential for energy production from renewable sources,
but the issue of effective self-consumption of this energy at
the level of individual households and small enterprises
was not sufficiently taken into account. Many approaches
focused on a general analysis of energy production poten-
tial, without considering the possibility and need to opti-
mize energy consumption directly at the local level. Typi-
cally, studies focused on the optimal location of solar and
wind power plants or on the integration of renewable en-
ergy sources into existing power grids, without taking into
account the specific needs of individual consumers. One of
the main problems was the lack of methods for in-depth
assessment of the ability of renewable energy to self-con-
sume in specific territories, taking into account local condi-
tions and infrastructure. Geographic information systems
(GIS) used previously often did not allow for the taking into
account of important aspects, such as variations in energy
consumption during the day or the characteristics of con-
sumer groups. Previous work also lacked attention to the
relationship between energy production and consumption
at the local level. Since the main analysis methods focused
on energy networks or general indicators, they could not
take into account individual consumer needs.
60
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
These limitations have highlighted the need to develop new
methods for assessing the self-consumption capacity of re-
newable energy, taking into account local conditions, sea-
sonal fluctuations in consumption, and other factors. The
implementation of new GIS-based approaches allows for
more accurate modeling of energy consumption and effec-
tive planning at the level of individual consumers [13-17].
Early research in renewable energy focused primarily on
identifying the potential of solar and wind power, but often
did not consider the full range of factors needed to opti-
mize energy systems. Most work was limited to analyzing
available natural resources without considering economic
aspects such as infrastructure development costs and inte-
grating renewable energy sources into existing power grids.
It is worth noting that, in previous studies, early approaches
also did not always combine the assessment of natural re-
sources with the economic characteristics of projects,
which limited the possibilities for creating comprehensive
planning models for 100% renewable electricity. Most of
these models offered only theoretical data on resources,
without linking them to real economic conditions, which
made it challenging to apply them for strategic planning at
the state level.
Thus, previous studies indicate the need to develop more
comprehensive approaches that integrate the assessment
of natural resources, economic aspects and opportunities
to achieve 100% renewable energy, especially in countries
with special conditions such as Bolivia. The implementation
of geographic information systems (GIS) allows combining
these aspects and creating accurate models that take into
account both natural resources and economic, social and
technical factors, helping to effectively plan energy systems
[18-20].
Research in the field of renewable energy management has
mostly focused on assessing the potential of different re-
newable energy sources, such as solar, wind or hydro-
power. However, relatively little attention has been paid to
an integrated approach to selecting optimal locations for
biomass plants, combining environmental, economic and
social aspects. Most studies have been limited to analyzing
individual characteristics of biomass resources or studying
only individual geographical regions, without including a
comprehensive approach that takes into account all key
factors.
Much of the previous work focused on single indicators,
such as feedstock availability or productivity, without con-
sidering the importance of selecting locations for biomass
facilities with environmental, social and economic require-
ments in mind. This means that site assessments often did
not take into account factors such as environmental im-
pact, infrastructure accessibility or socio-economic condi-
tions, which are critical for the effective operation of such
facilities.
These limitations indicate the need for new approaches to
assessing potential locations for biomass plants, which in-
clude not only resources, but also environmental, social
and infrastructure aspects. The use of geographic infor-
mation systems (GIS) can significantly improve the process
by combining data on natural resources, the environment
and socio-economic conditions. Such a comprehensive ap-
proach provides an accurate and objective assessment for
selecting optimal locations for biomass facilities that meet
the requirements of environmental sustainability and eco-
nomic benefit.
Thus, previous studies highlight the need for a comprehen-
sive assessment of locations for biomass plants, which
takes into account not only resource availability but also
important environmental and social factors. The use of GIS
technologies is a key tool for effective planning and man-
agement of renewable energy sources, helping to ensure
the sustainable development of biomass projects [21-23].
A review of previous studies shows a high interest in the
application of geographic information systems (GIS) for the
development of renewable energy sources (RES) in differ-
ent countries. However, despite significant advances in the
use of GIS for the assessment of natural resources of solar
and wind energy, as well as for the selection of locations for
biomass plants, there is still insufficient research on how to
integrate these data into a general model of energy system
development that takes into account the specifics of spe-
cific regions. This especially applies to the factor of remote-
ness of electricity consumers, which is important for deter-
mining the economic feasibility of such projects.
Previous studies, such as the assessment of solar and wind
resources for Bolivia or methods for managing renewable
energy sources in biomass plants, indicate the potential of
GIS to improve the management of energy projects. How-
ever, they do not always take into account the issue of re-
moteness of consumers, which is an important aspect for
assessing the efficiency and accessibility of energy projects,
especially for remote regions. For Ukraine, which has large
territories with different levels of infrastructure develop-
ment, this problem is even more relevant.
Research mostly focuses on the analysis of natural re-
sources, without sufficiently considering social and eco-
nomic factors that significantly affect the planning of en-
ergy projects. Ukraine has significant potential for the
development of renewable energy, but the difficult infra-
structure situation and the large gap between the central
and remote regions of the country require a new approach
to assessing the opportunities for the development of re-
newable energy, which takes into account not only natural
resources, but also infrastructural and economic aspects.
Therefore, our study is an extremely important, relevant
and necessary step – as can be seen from the analysis of
previous studies. This will allow to expand existing research
and offer a comprehensive approach that includes all key
factors: natural resources and geographical features of the
country. The use of GIS in this context will allow to effec-
tively develop RES, taking into account the needs of remote
consumers, and contribute to the sustainable development
of the energy system of Ukraine.
61
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
The purpose of this study is to determine the territories
most suitable for the location of renewable energy facili-
ties, taking into account the geographical remoteness of
electricity consumers.
Research objectives cover spatial data analysis, assessment
of the impact of logistical factors on energy efficiency, and
development of recommendations for optimizing the loca-
tion of generation facilities. The theoretical basis of the
work is the methods of geoinformation analysis, spatial
modeling, and economic evaluation.
This article is aimed at solving an important scientific and
practical problem – developing approaches to the effective
use of renewable energy in Ukraine by taking into account
territorial specifics and logistical aspects. The results of the
study will contribute to improving the country's energy
strategy, increasing economic efficiency and sustainable
development of the energy sector.
Relevance of the research topic. Ukraine has favorable nat-
ural conditions for the development of renewable energy.
Large areas, climatic diversity and availability of resources
create the prerequisites for the use of solar, wind, biomass
and water energy. In addition, international obligations,
such as the implementation of the goals of the Paris Climate
Agreement, stimulate Ukraine to reduce greenhouse gas
emissions and increase the share of green energy in the
overall balance.
At the same time, for the effective implementation of RES,
a systematic approach is needed that takes into account ge-
ographical, environmental and economic factors. Here, GIS
is of particular importance, allowing for a comprehensive
assessment and modeling of the energy potential of alter-
native territories.
Setting the task. The study is aimed at optimizing the loca-
tion of generation facilities to minimize transportation
costs, reduce energy losses, and increase the efficiency of
using RES resources.
To achieve the goal, the following tasks have been set:
− perform an analysis of spatial data that reflects the po-
tential of renewable energy sources (RES) in different
regions of the country;
− develop an algorithm for determining the correction of
RES potential values taking into account the remoteness
of electricity consumers;
− determine the energy losses of RES generation depend-
ing on the distance between generation facilities and
consumption centers on the economic and technical ef-
ficiency of RES application.
− provide practical recommendations for integrating re-
newable energy into the national energy system in or-
der to minimize energy costs and losses.
To accomplish the objectives set in the study, the following
methods were used:
− geoinformation analysis for collecting, processing and
visualizing spatial data related to the resource potential
of renewable energy sources and centers of electricity
consumption.
− spatial modeling to identify losses and determine opti-
mal options for placing generation facilities.
− comparative analysis to generalize international experi-
ence and its adaptation to Ukrainian realities.
The research results are aimed at:
− justification of effective approaches to the develop-
ment of renewable energy sources in Ukraine.
− rational use of energy resources.
− improvement of energy infrastructure.
− reducing overall costs when generating electricity using
renewable energy.
Presentation of the main material. As part of the study of
the prospects for the development of renewable energy
sources (RES) in Ukraine, taking into account the remote-
ness of electricity consumers, a comprehensive approach
was applied, which included the development of mathe-
matical models, analysis of natural resources, technical lim-
itations and economic aspects of the implementation of
RES. The main goal of the study was to create a model that
would allow optimizing the placement of energy installa-
tions and assessing their efficiency, taking into account the
geographical location and needs of consumers.
When using geoinformation technologies, researchers en-
counter significant difficulties in using well-known GIS soft-
ware packages (ArcGIS, QGIS, GRASS, OpenOrienteering-
Mappe, etc.). The main reasons are the overcomplexity of
the interface, the need to master the mathematical appa-
ratus and programming associated with various carto-
graphic systems, high cost, lack of data necessary for anal-
ysis, etc. At the same time, a number of powerful
mathematical platforms, in particular MATLAB Online and
MATHCAD, are presented openly and allow analyzing
graphic data (maps) and performing the necessary calcula-
tions. Also, the advantage of these application software
packages for numerical analysis is their ability to integrate
large data sets, mathematical analysis of data sets and vis-
ualization of results, which is necessary for solving prob-
lems related to the optimization of energy capacities and
the analysis of economic efficiency.
Initially, data were collected on natural resources for differ-
ent regions of Ukraine (solar and wind energy potential, cli-
matic conditions), as well as on the existing energy infra-
structure, including the distance to energy consumers [2].
Among the graphical data representing the potential for
electricity generation through the use of RES and energy
consumption of the power system, the data presented in
Fig. 1 were selected.
62
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
a
b
Fig. 1. Distribution maps of RES generation (a) and electricity consumption (b) in Ukraine [2]
When creating these maps, researchers usually do not
indicate the system of map projection. Therefore, for re-
search, the maps were scaled to a uniform scale, taking
into account the largest dimensions of the country: 1316
km from west to east and 893 km from north to south.
The territory was divided into squares with sides of 10
km. The resulting files were recognized in a 4-bit system,
which allowed to create, depending on the map, division
of the territory into 6 and 4 zones, respectively,
according to the map data. The converted maps, taking
into account the above, allowed for the creation of data
arrays reflecting the distribution of RES generation and
electricity consumption in Ukraine, presented in Fig. 2.
As can be seen from the figures, areas with greater gen-
eration potential are located far from areas with rela-
tively high electricity consumption. These circumstances
will lead to significant losses of electricity during its
transmission.
63
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
a b
Fig. 2. Distribution maps of RES generation (a) and electricity consumption (b) in Ukraine after recognition and data array
creation
Obtaining the distribution of renewable energy generation
and electricity consumption in Ukraine allows us to deter-
mine possible energy losses during transmission. To deter-
mine the share of energy transmitted from one region of
Ukraine to another
,
,
k n
j iWT , the following dependence is
proposed
=
,,
, ,
C
k nk n
j i j i
R
c
W
WT W
P
(1)
where ,
R
j iW - RES generation potential of the district with
coordinates ,j i , corresponding to the division of maps into
squares with a side of 10 km; ,
C
k nW - power consumption of
the area with coordinates ,k n ;
cP - the total capacity of
the country's power system.
The above dependence is based on the assumption of a di-
rect proportional dependence of the share of consumption
of the country's regions on total capacity of the country's
power system:
89 131
,
1 1 1
k n
C
k n
k n
c
W
P
= =
= = =
(2)
Scheme for calculating losses during energy transmission
from the generation area ,j i to the consumption area
,k n shown in Fig. 3.
To determine the calculation of RES potential losses when
transferring energy from the generation area to the con-
sumption area, we will use the methodological recommen-
dations for determining technological costs of electric en-
ergy in transformers and power transmission lines.
Methodological recommendations are used to determine
technological electricity costs in elements of electrical
networks (transformers, transmission lines, reactors) when
calculating the consumption, transmission, supply and pro-
duction of electricity in accordance with regulatory docu-
ments, if the measurement points do not coincide with the
balance sheet boundary; take into account losses due to
electromagnetic processes, climatic influences and insula-
tion, and are recommended for use by energy transmission
and supply organizations, design institutions, producers
and consumers of electricity, except for interstate and spe-
cialized networks[26].
According to the above methodological recommendations,
the loss of active
( )PW or reactive electricity
( )QW in elec-
trical networks for the calculation period are determined
separately for each element of the electrical network
(power transmission line, reactor, transformer or auto-
transformer, etc.) based on the flows of active or reactive
electricity at the metering points located on the connected
network element in accordance with the generalized for-
mulas:
( )
= +2 2
.· · · · ·P p
f у п нW a I R k T P T (3)
a - coefficient depending on the type of network (three-
phase, single-phase); I - average effective value of the cur-
rent in the network element;R - active resistance of the
network element;
2
fk - average effective value of the cur-
rent in the network element; . у пP - conditionally constant
losses of active energy in the network element, which de-
pend on the voltage and do not depend on the current
strength;
.у пQ - conditionally constant reactive energy losses in a net-
work element, which depend on voltage and do not depend
on current strength;
( )
= +2 2
.· · · · ·Q p
f у п нW a I X k T Q T (4)
64
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
X - reactance of the network element;
The use of the dependence is significantly limited by the
need to determine the reactive and active resistances of net-
work elements, which depend on a number of structural el-
ements of the power line. At the same time, the use of eco-
nomic current density i 2/A mm enables the determination
of power losses under the conditions of choosing the average
voltage and the material of the power line conductors
2
2 P LUi P
WT I R Li
U P U
= = =
(5)
where - resistivity; P - power (
,
,
k n
j iWT ); L - transportation
distance.
The shortest path for transmitting electrical energy is pro-
posed for the selected stage of development of the algo-
rithm for determining losses.
( )= − + −
2 2( )L l i n j k (6)
l - map breakdown step.
Fig. 3. Scheme for calculating RES potential losses when transferring energy from the generation area to the consump-
tion area
The algorithm for determining losses will consider the den-
sity and direction of Ukraine's power supply networks by
recognizing power line maps. The results of power losses
for individual regions are shown in Fig. 4.
Fig. 4. Maps of distribution of losses predicted during the transmission of renewable energy, taking into account the re-
moteness of consumers
65
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
Analysis of the distribution map of absolute losses pre-
dicted during the transmission of renewable energy, taking
into account the remoteness of consumers, indicates a sig-
nificant impact of the location of renewable energy sources
and their remoteness. It is quite natural that the lowest to-
tal losses during the transmission of electricity are charac-
teristic of the central regions of Ukraine. The highest abso-
lute losses during the transmission of electricity should be
expected in the eastern and southern regions. The most
promising areas for the development of renewable energy
generation should be considered areas with average losses
and close to the regions with the highest consumption,
Dnipropetrovsk and the northern part of Odessa regions.
Using the MATHCAD software product, a model was cre-
ated to assess the optimal locations for RES deployment,
taking into account natural conditions and distance to con-
sumers. The model included an assessment of the potential
of various energy sources and their combinations to select
the most effective development options.
Using MATLAB, optimization calculations were performed
to determine the most advantageous location for renewa-
ble energy sources, taking into account economic aspects
such as infrastructure costs and accessibility for consumers.
After the modeling was completed, the results were ana-
lyzed to identify the most promising regions for the devel-
opment of renewable energy. It was assessed which renew-
able energy technologies are the most effective depending
on the specifics of the region and the distance to energy
consumers.
Thanks to the use of MATHCAD and MATLAB, it was possi-
ble to develop mathematical models for the optimal place-
ment of renewable energy sources in Ukraine, taking into
account the distance to consumers and natural resources.
This allowed for an accurate assessment of the potential of
renewable energy in different regions, as well as to assess
their economic efficiency.
Therefore, using MATHCAD and MATLAB instead of tradi-
tional GIS programs has become an effective solution that
allows for detailed modeling without significant financial
costs. This approach allows for highly accurate calculations
and offers practical recommendations for the development
of renewable energy in Ukraine [26-30].
We have built an algorithm for calculating losses and ana-
lyzed the potential and level of losses in the transmission of
electricity by renewable energy sources. We have also con-
sidered the Law of Ukraine on Methodological Recommen-
dations for Determining Technological Consumption of
Electric Energy in Transformers and Power Transmission
Lines, paying special attention to paragraph 7 of the law.
We have analyzed and developed the following conclu-
sions. [26].
Analysis of the calculations shows that reactive power
losses account for almost 70% of active losses.
Conclusions
As a result of the research, a comprehensive methodology
was developed for assessing the prospects for the develop-
ment of renewable energy sources (RES) in Ukraine, taking
into account the remoteness of electricity consumers. An
approach was applied that combines mathematical model-
ing, analysis of the geographical distribution of resources,
technical limitations, and feasibility of implementing RES.
Based on geoinformation technologies, a spatial analysis of
the potential for electricity generation from renewable en-
ergy sources and its consumption was carried out, which
allowed identifying regions with the greatest losses in en-
ergy transmission. An algorithm for estimating power
losses in electricity transportation based on cartographic
data was proposed, which takes into account the distance
between the zones of generation and consumption, as well
as the features of the power grid infrastructure.
The results of the study showed that the largest losses of
electricity during its transmission are predicted in the east-
ern and southern regions of Ukraine due to the significant
distance of consumers from the main sources of RES gener-
ation. The most promising for the development of RES are
areas with moderate losses, located near regions with high
levels of consumption.
The developed methodology can be used for further plan-
ning of the country's energy infrastructure, optimizing the
location of generating capacities, and minimizing electricity
losses during its transportation.
REFERENCES
1. https://www.ive.org.ua/wp-content/uploads/atlas.pdf
2. https://www.ive.org.ua/wp-content/up-
loads/Tezy_2024.pdf
3. https://ela.kpi.ua/items/ae2863db-aa32-4a20-8651-
4c25695b2f94
4. Cheng, C., Gutierrez, NP, Blakers, A., & Stocks, M. (2022).
GIS-based solar and wind resource assessment and least-
cost 100% renewable electricity modeling for Bolivia. En-
ergy for Sustainable Development, 69, 134-149.
5. Jeong, JS, & Ramírez-Gómez, Á. (2017). Renewable en-
ergy management to identify suitable biomass facility
location with GIS-based assessment for sustainable en-
vironment. Energy Proceedings, 136, 139-144.
6. Zhang, Y., & Wang, X. (2017). Geographic information
system (GIS) applications for renewable energy devel-
opment. Journal of Renewable and Sustainable Energy,
9(2), 021401. https://doi.org/10.1063/1.4975544
7. Molina, L., & Espinoza, C. (2014). Geospatial analysis of
wind energy potential in the United States. Environ-
mental Earth Sciences, 73(3), 1451-1464.
https://doi.org/10.1007/s12665-014-3347-3
66
Відновлювана енергетика. № 2/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
8. Kaldellis, JK, &Zafirakis, D. (2011). The wind energy
(r)evolution: A short review of a long journey. Renewa-
ble and Sustainable Energy Reviews, 15(6), 3096-3102.
https://doi.org/10.1016/j.rser.2011.04.033
9. Guevara, P., & Ramos, A. (2017). Sustainable energy de-
velopment using GIS technologies. Renewable Energy,
114, 472-485.
https://doi.org/10.1016/j.renene.2017.07.071
10. Vassallo, A., & Capone, F. (2018). GIS-based methodol-
ogies for the assessment of renewable energy re-
sources. Energy, 162, 268-278.
https://doi.org/10.1016/j.energy.2018.08.058
11. Zardo, L., Bradaschia, MG, Musco, F., &Maragno, D.
(2023). Promoting an integrated planning for a sustain-
able upscale of renewable energy. A regional GIS-based
comparison between ecosystem services tradeoff and
policy constraints. Renewable Energy, 217, 119131
12. Al-Fares, A., &Hasoon, F. (2015). Geospatial assessment
of solar energy potential using GIS and remote sensing.
Journal of Renewable and Sustainable Energy, 7(4),
043105. https://doi.org/10.1063/1.4926477
13. Pellegrino, S., &DeMasi, A. (2013). Solar and wind en-
ergy integration: A GIS-based approach. Energy Re-
ports, 2, 10-20.
https://doi.org/10.1016/j.egyr.2016.12.001
14. Zaichenko, S., Opryshko, V., Bielokha, H., Ediz, G.,
Derevianko, D., &Shevchuk, N. (2023, October). Param-
eters determination and development of seasonal cold
accumulators with phase transformation. In 2023 IEEE
4th KhPI Week on Advanced Technology (KhPIWeek)
(pp. 1-4). IEEE.
15. Kamat, R., & Mehta, P. (2018). Renewable energy resource
assessment using GIS for sustainable energy development.
Journal of Energy Engineering, 144(4), 04018011.
https://doi.org/10.1061/(ASCE)EY.1943-7897.0000609
16. Sarkar, S., &Soni, P. (2015). GIS-based multi-criteria de-
cision analysis for wind energy site selection. Renewa-
ble and Sustainable Energy Reviews, 44, 707-721.
https://doi.org/10.1016/j.rser.2014.12.040
17. Olsson, O., & Lindh, A. (2015). GIS for planning renewa-
ble energy systems in Sweden: Experiences from a deci-
sion support tool. Renewable Energy, 83, 1074-1084.
https://doi.org/10.1016/j.renene.2015.04.039
18. Zaichenko, S., Trachuk, A., Shevchuk, N., Pochka, K.,
&Shalenko, V. (2024, November). Forecasting the devel-
opment of renewable national energy in the tourism
sector of Ukraine. In E3S Web of Conferences (Vol. 508,
p. 02006). EDP Sciences.
19. Jain, P., &Malla, N. (2016). Application of GIS for wind
energy resource assessment and mapping.
International Journal of Energy and Environmental En-
gineering, 7(1), 71-81. https://doi.org/10.1007/s40095-
015-0157-x1
20. Jamil, M., & Fayyad, S. (2017). GIS-based wind energy
potential mapping for sustainable energy development
in Egypt. Energy Reports, 3, 204-
213.https://doi.org/10.1016/j.egyr.2017.07.003
21. Amin, MT, & Akhtar, MA (2017). Geospatial modeling
and analysis of renewable energy potential using GIS.
Renewable and Sustainable Energy Reviews, 68, 420-
432. https://doi.org/10.1016/j.rser.2016.10.014
22. Sawin, JL, &Moomaw, WR (2016). Renewable energy
and energy efficiency policies in the world: Global per-
spectives. Renewable Energy, 94, 121-130.
https://doi.org/10.1016/j.renene.2016.03.018
23. Dincer, I., & Rosen, MA (2010). Renewable energy:
Source sand methods. Springer.
https://link.springer.com/book/10.1007/978-1-4419-
1483-7
24. Hussain, M., & Raza, H. (2015). Application of GIS in re-
newable energy development. Renewable and Sustain-
able Energy Reviews, 43, 1053-1061.
https://doi.org/10.1016/j.rser.2014.11.059
25. Skidmore, A. (2017). Environmental modeling with GIS
and remote sensing. CRC Press
26. https://zakon.rada.gov.ua/rada/show/v0399732-
13#Text
27. Trachuk, A. (2025). Methodological Provisions of Sys-
tem Analysis in Researching the Problems of Involving
Renewable Energy Sources in the Energy Balance of
Ukraine. In Modern Technologies in Energy and
Transport II (pp. 191-235). Cham: Springer Nature Swit-
zerland
28. Santana-Sarmiento, F., & Velázquez-Medina, S. (2024).
A method based on GIS techniques to assess renewable
energy self-consumption capacity. A case study. Energy,
305, 132246.
29. Sainz-Ortiz, E., Somohano-Rodriguez, FM, Pascual-
Muñoz, P., Arroyo, A., & Manana, M. (2024). Dynamic-
web-based GIS tool for pre-feasibility evaluation of re-
newable energy projects. EnergyConversionandMan-
agement, 322, 119162.
30. Derevianko, D., &Zaichenko, S. (2023). Game-Theoretic
Models of Dynamic Pricing in Microgrids with Distrib-
uted Generation Sources. In Power Systems Research
and Operation: Selected Problems III (pp. 231-245).
Cham: Springer Nature Switzerland.
|
| id | veorgua-article-526 |
| institution | Vidnovluvana energetika |
| keywords_txt_mv | keywords |
| language | English |
| last_indexed | 2026-07-19T01:15:45Z |
| publishDate | 2025 |
| publisher | Institute of Renewable Energy National Academy of Sciences of Ukraine |
| record_format | ojs |
| resource_txt_mv | veorgua/51/092fb21e1a45754114ee89841488a651.pdf |
| spelling | veorgua-article-5262026-07-18T06:32:21Z GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS ГЕОІНФОРМАЦІЙНИЙ АНАЛІЗ ПЕРСПЕКТИВ РОЗВИТКУ ВІДНОВЛЮВАЛЬНИХ ДЖЕРЕЛ ЕНЕРГІЇ В УКРАЇНІ З УРАХУВАННЯМ ВІДДАЛЕНОСТІ СПОЖИВАЧІВ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ Zaichenko , S. Borychenko , O. Trachuk , A. geoinformation analysis, renewable energy sources, remote consumers, energy planning, GIS, energy infrastructure, economic efficiency, sustainable development. геоінформаційний аналіз, відновлювані джерела енергії, віддалені споживачі, енергетич-не планування, GIS, енергетична інфраструктура, економічна ефективність, сталий розвиток. The article explores the prospects for the development of renewable energy sources (RES) in Ukraine, taking into account the territorial remoteness of electricity consumers. The main goal of the work is to determine the most appropriate regions for the implementation of RES, taking into account geographical features and energy consumption needs. The study analyzed spatial data on available RES resources, assessed the impact of the location of energy facilities on their efficiency, and modeled ways to optimize energy transmission to consumers. The work uses methods of geoinformation analysis and cartographic modeling. The results reveal the most promising regions for the location of renewable energy facilities, emphasize the role of remoteness in the formation of energy losses, and offer practical solutions for reducing electricity transportation costs. The study provides valuable recommendations for strategic planning of renewable energy development, in particular for government agencies, investors, and energy professionals. У статті досліджено перспективи розвитку відновлюваних джерел енергії (ВДЕ) в Україні з урахуванням територіальної віддаленості споживачів електричної енергії. Основна мета роботи полягає у визначенні найбільш доцільних регіонів для впровадження ВДЕ з урахуванням географічних особливостей та потреб енергоспоживання. В рамках дослідження проведено аналіз просторових даних про наявність у ресурсах ВДЕ, оцінено вплив розміщення енергетичних об'єктів на їх ефективність та модельовано шляхи оптимізації передачі енергії споживачів. У роботі застосовані методи геоінформаційного аналізу та картографічного моделювання. Отримані результати виявляють найбільш перспективні регіони для розміщення об'єктів ВДЕ, відзначають роль віддаленості у формуванні енергетичних втрат та пропонують практичні рішення для зменшення витрат на транспортування електроенергії. Дослідження надає цінні рекомендації для стратегічного планування розвитку ВДЕ, зокрема для урядових органів, інвесторів та фахівців у галузі енергетики. Institute of Renewable Energy National Academy of Sciences of Ukraine 2025-06-30 Article Article application/pdf https://ve.org.ua/index.php/journal/article/view/526 10.36296/1819-8058.2025.2(81).58-66 Vidnovluvana energetika ; No. 2(81) (2025): Scientific and applied Journal renewable energy ; 58-66 Возобновляемая энергетика; ##issue.no## 2(81) (2025): Scientific and applied Journal renewable energy ; 58-66 Відновлювана енергетика; № 2(81) (2025): Науково-прикладний журнал Відновлювана енергетика; 58-66 2664-8172 1819-8058 10.36296/1819-8058.2025.2(81) en https://ve.org.ua/index.php/journal/article/view/526/433 Copyright (c) 2025 S. Zaichenko , O. Borychenko , A. Trachuk https://creativecommons.org/licenses/by-nc-nd/4.0 |
| spellingShingle | geoinformation analysis renewable energy sources remote consumers energy planning GIS energy infrastructure economic efficiency sustainable development. Zaichenko , S. Borychenko , O. Trachuk , A. GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS |
| title | GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS |
| title_alt | ГЕОІНФОРМАЦІЙНИЙ АНАЛІЗ ПЕРСПЕКТИВ РОЗВИТКУ ВІДНОВЛЮВАЛЬНИХ ДЖЕРЕЛ ЕНЕРГІЇ В УКРАЇНІ З УРАХУВАННЯМ ВІДДАЛЕНОСТІ СПОЖИВАЧІВ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ |
| title_full | GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS |
| title_fullStr | GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS |
| title_full_unstemmed | GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS |
| title_short | GEOINFORMATION ANALYSIS OF THE PROSPECTS FOR THE DEVELOPMENT OF RENEWABLE ENERGY SOURCES IN UKRAINE, TAKING INTO ACCOUNT THE REMOTENESS OF ELECTRICITY CONSUMERS |
| title_sort | geoinformation analysis of the prospects for the development of renewable energy sources in ukraine, taking into account the remoteness of electricity consumers |
| topic | geoinformation analysis renewable energy sources remote consumers energy planning GIS energy infrastructure economic efficiency sustainable development. |
| topic_facet | geoinformation analysis renewable energy sources remote consumers energy planning GIS energy infrastructure economic efficiency sustainable development. геоінформаційний аналіз відновлювані джерела енергії віддалені споживачі енергетич-не планування GIS енергетична інфраструктура економічна ефективність сталий розвиток. |
| url | https://ve.org.ua/index.php/journal/article/view/526 |
| work_keys_str_mv | AT zaichenkos geoinformationanalysisoftheprospectsforthedevelopmentofrenewableenergysourcesinukrainetakingintoaccounttheremotenessofelectricityconsumers AT borychenkoo geoinformationanalysisoftheprospectsforthedevelopmentofrenewableenergysourcesinukrainetakingintoaccounttheremotenessofelectricityconsumers AT trachuka geoinformationanalysisoftheprospectsforthedevelopmentofrenewableenergysourcesinukrainetakingintoaccounttheremotenessofelectricityconsumers AT zaichenkos geoínformacíjnijanalízperspektivrozvitkuvídnovlûvalʹnihdžerelenergíívukraínízurahuvannâmvíddalenostíspoživačívelektričnoíenergíí AT borychenkoo geoínformacíjnijanalízperspektivrozvitkuvídnovlûvalʹnihdžerelenergíívukraínízurahuvannâmvíddalenostíspoživačívelektričnoíenergíí AT trachuka geoínformacíjnijanalízperspektivrozvitkuvídnovlûvalʹnihdžerelenergíívukraínízurahuvannâmvíddalenostíspoživačívelektričnoíenergíí |