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Mentis, Dimitris
Publications (8 of 8) Show all publications
Siyal, S. H., Mentis, D. & Howells, M. I. (2019). Economic analysis of standalone wind-powered hydrogen refueling stations for road transport at selected sites in Sweden (vol 40, pg 9855, 2015). International journal of hydrogen energy, 44(23), 12288-12290
Open this publication in new window or tab >>Economic analysis of standalone wind-powered hydrogen refueling stations for road transport at selected sites in Sweden (vol 40, pg 9855, 2015)
2019 (English)In: International journal of hydrogen energy, ISSN 0360-3199, E-ISSN 1879-3487, Vol. 44, no 23, p. 12288-12290Article in journal (Refereed) Published
Abstract [en]

The measurement units of yearly wind electricity and hydrogen production in the following sections of the previously published paper as titled above are now changed from (MWh/year and kTon/year) to (GWh/year and tons/year). These changes apply to all the measuring units in text and related tables of the following sections. All the results of this paper are still valid and unchanged. 

Place, publisher, year, edition, pages
Elsevier, 2019
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-252981 (URN)10.1016/j.ijhydene.2019.03.036 (DOI)000468710100083 ()2-s2.0-85063603502 (Scopus ID)
Note

Corrigendum

QC 20190814

Available from: 2019-08-14 Created: 2019-08-14 Last updated: 2019-08-14Bibliographically approved
Korkovelos, A., Mentis, D., Siyal, S. H., Arderne, C., Rogner, H.-H., Bazilian, M., . . . De Roo, A. (2018). A geospatial assessment of small-scale hydropower potential in sub-saharan Africa. Energies, 11(11), Article ID 3100.
Open this publication in new window or tab >>A geospatial assessment of small-scale hydropower potential in sub-saharan Africa
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2018 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 11, no 11, article id 3100Article in journal (Refereed) Published
Abstract [en]

Sub-Saharan Africa has been at the epicenter of an ongoing global dialogue around the issue of energy poverty. More than half of the world's population without access to modern energy services lives there. It also happens to be a sub-continent with plentiful renewable energy resource potential. Hydropower is one of them, and to a large extent it remains untapped. This study focuses on the technical assessment of small-scale hydropower (0.01-10 MW) in Sub-Saharan Africa. The underlying methodology was based on open source geospatial datasets, whose combination allowed a consistent evaluation of 712,615 km of river network spanning over 44 countries. Environmental, topological, and social constraints were included in the form of constraints in the optimization algorithm. The results are presented on a country and power pool basis.

Place, publisher, year, edition, pages
MDPI AG, 2018
Keywords
Electrification, Geographic information systems, Hydropower, Sub-Saharan Africa, Economic and social effects, Energy poverties, Hydropower potential, Optimization algorithms, Social constraints, Technical assessment, Hydroelectric power
National Category
Medical Engineering
Identifiers
urn:nbn:se:kth:diva-247086 (URN)10.3390/en11113100 (DOI)000451814000238 ()2-s2.0-85057780833 (Scopus ID)
Note

QC 20190503

Available from: 2019-05-03 Created: 2019-05-03 Last updated: 2019-05-03Bibliographically approved
Moksnes, N., Korkovelos, A., Mentis, D. & Howells, M. I. (2017). Electrification pathways for Kenya-linking spatial electrification analysis and medium to long term energy planning. Environmental Research Letters, 12(9), Article ID 095008.
Open this publication in new window or tab >>Electrification pathways for Kenya-linking spatial electrification analysis and medium to long term energy planning
2017 (English)In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 12, no 9, article id 095008Article in journal (Refereed) Published
Abstract [en]

In September 2015 UN announced 17 Sustainable Development goals (SDG) from which goal number 7 envisions universal access to modern energy services for all by 2030. In Kenya only about 46% of the population currently has access to electricity. This paper analyses hypothetical scenarios, and selected implications, investigating pathways that would allow the country to reach its electrification targets by 2030. Two modelling tools were used for the purposes of this study, namely OnSSET and OSeMOSYS. The tools were soft-linked in order to capture both the spatial and temporal dynamics of their nature. Two electricity demand scenarios were developed representing low and high end user consumption goals respectively. Indicatively, results show that geothermal, coal, hydro and natural gas would consist the optimal energy mix for the centralized national grid. However, in the case of the low demand scenario a high penetration of stand-alone systems is evident in the country, reaching out to approximately 47% of the electrified population. Increasing end user consumption leads to a shift in the optimal technology mix, with higher penetration of mini-grid technologies and grid extension.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2017
Keywords
Kenya, OSeMOSYS, optimization, OnSSET, off-grid, SDG
National Category
Environmental Sciences
Identifiers
urn:nbn:se:kth:diva-214882 (URN)10.1088/1748-9326/aa7e18 (DOI)000410459000003 ()2-s2.0-85030751684 (Scopus ID)
Note

QC 20171023

Available from: 2017-10-23 Created: 2017-10-23 Last updated: 2018-02-27Bibliographically approved
Mentis, D., Howells, M. I., Rogner, H.-H., Korkovelos, A., Arderne, C., Zepeda, E., . . . Scholtz, E. (2017). Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa. Environmental Research Letters, 12(8), Article ID 085003.
Open this publication in new window or tab >>Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa
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2017 (English)In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 12, no 8, article id 085003Article in journal (Refereed) Published
Abstract [en]

In September 2015, the United Nations General Assembly adopted Agenda 2030, which comprises a set of 17 Sustainable Development Goals (SDGs) defined by 169 targets. 'Ensuring access to affordable, reliable, sustainable and modern energy for all by 2030' is the seventh goal (SDG7). While access to energy refers to more than electricity, the latter is the central focus of this work. According to the World Bank's 2015 Global Tracking Framework, roughly 15% of the world's population (or 1.1 billion people) lack access to electricity, and many more rely on poor quality electricity services. The majority of those without access (87%) reside in rural areas. This paper presents results of a geographic information systems approach coupled with open access data. We present least-cost electrification strategies on a country-by-country basis for Sub-Saharan Africa. The electrification options include grid extension, mini-grid and stand-alone systems for rural, peri-urban, and urban contexts across the economy. At low levels of electricity demand there is a strong penetration of standalone technologies. However, higher electricity demand levels move the favourable electrification option from stand-alone systems to mini grid and to grid extensions.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2017
Keywords
sustainable development goals, energy access modelling, geospatial data
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-206824 (URN)10.1088/1748-9326/aa7b29 (DOI)000406479300001 ()2-s2.0-85029154197 (Scopus ID)
Funder
J. Gust. Richert stiftelseSwedish Research Council
Note

QC 20170607

Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2018-02-27Bibliographically approved
Mentis, D. (2017). Spatially explicit electrification modelling insights: Applications, benefits, limitations and an open tool for geospatial electrification modelling. (Doctoral dissertation). Stockholm, Sweden: KTH Royal Institute of Technology
Open this publication in new window or tab >>Spatially explicit electrification modelling insights: Applications, benefits, limitations and an open tool for geospatial electrification modelling
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Developing countries confront the challenge of generating more electricity to meet demands in a sustainable manner. According to the World Bank’s 2015 Global Tracking Framework, roughly 15% of world population (or 1.1 billion people) lack access to electricity, and many more rely on poor quality electricity supplies. In September 2015, the United Nations General Assembly adopted Agenda 2030 comprised of a set of 17 Sustainable Development Goals (SDGs) and defined by 169 targets. “Ensuring access to affordable, reliable, sustainable and modern energy for all by 2030” is the seventh goal (SDG7). While energy access refers to more than electricity, it is the central focus of this work.

Models addressing electrification and access typically need large volumes of reliable energy-related data and information, which in most developing countries have been limited or not available. This paucity of information has decelerated energy planning in the developing World. That situation has fundamentally changed with increasing availability and application of Geographic Information Systems (GIS). GIS layers can provide location specific energy-related information that has not been previously accessible. The focus of this thesis lies on integrating a simple electricity supply model into GIS. In so doing a novel open source spatial electrification tool is developed. It estimates power capacity needs and associated investment (and other) costs for achieving universal access to electricity in developing countries.

The dissertation includes a cover essay and six appended papers presenting quantitative methods on coupling selected aspects of GIS and energy systems. It strives to answer three key research questions. 

The first research question is: What is the spatially explicit renewable energy potential that can be technically and economically exploited? This information is currently either missing or scattered in developing countries. The provision of low cost, locally available energy can provide a significant opportunity to empower a better standard of living. The first paper presents a GIS based approach to assess the onshore technical wind energy potential on the African continent by applying socioeconomic and geographic restrictions regarding the localization of wind farms and state of the art wind data analysis. The second paper builds on this knowledge and moves one step further by assessing the economic potential and providing cost indicators to assess the viability of wind power (this time in India). The third paper maps the economic wind power potential in Africa based on the methodologies developed in the two preceding papers. Not only wind power but most energy resources have a spatial nature and their availability is linked to geography. Evaluating these other energy sources (solar, hydro etc.) are included and analysed in Papers IV-VI.

The second research question is: what is the least-cost set of technologies needed to meet different levels of electricity use accounting for different geographies? Increasing access to electricity effectively requires, inter alia, strategies and programmes that address and account for the geographical, infrastructural and socioeconomic characteristics of a country or region. Paper IV introduces a GIS based methodology to inform electrification planning. It builds on the previous work by taking into account the techno-economic wind, and other resource mapping. This methodology is applied in Nigeria in order to determine the least cost technology mix considering the country’s infrastructure and resource availability on a spatial basis. Paper V utilizes this method and in so doing demonstrates the importance of geospatial calculations in energy access planning. It highlights differences in investment estimates between alternate scenarios with regards to energy demand and technology deployment. Paper VI enhances this methodology and applies it to every square kilometre of Sub-Saharan Africa. The method is subsequently implemented in an Open Source Spatial Electrification Tool (OnSSET) to facilitate education, repeatability and further research.

Finally, the third question is: Are there gains to be had by linking geographically explicit analysis with typical (non-spatially explicit) long term energy systems models? The work shows that not only do long-term systems models influence geospatially optimal technology deployment. But vice versa, their output influences long term systems models’ investment profile.  That is because the geospatial disaggregation allows for a better determination of grid versus off-grid connections, and in turn power demand on the national grid. This thesis demonstrates that energy system models should take into consideration the geographic dimension of energy-related parameters, as these play a fundamental role in determining the optimal energy system of a region.

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2017. p. 88
National Category
Energy Engineering
Research subject
Energy Technology
Identifiers
urn:nbn:se:kth:diva-207801 (URN)
Public defence
2017-06-08, M3, Brinellvagen 68, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170524

Available from: 2017-05-24 Created: 2017-05-24 Last updated: 2017-05-24Bibliographically approved
Taliotis, C., Shivakumar, A., Ramos, E., Howells, M. I., Mentis, D., Sridharan, V., . . . Mofor, L. (2016). An indicative analysis of investment opportunities in the African electricity supply sector: Using TEMBA (The Electricity Model Base for Africa). Energy for Sustainable Development, 31, 50-66
Open this publication in new window or tab >>An indicative analysis of investment opportunities in the African electricity supply sector: Using TEMBA (The Electricity Model Base for Africa)
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2016 (English)In: Energy for Sustainable Development, ISSN 0973-0826, Vol. 31, p. 50-66Article in journal (Refereed) Published
Abstract [en]

Africa is a resource-rich continent but lacks the required power infrastructure. Efforts such as the United Nations Sustainable Energy for All and U.S. President Obama's Power Africa initiatives aim to facilitate much needed investment. However, no systematic national and regional investment outlook is available to analysts. This paper examines indicative scenarios of power plant investments based on potential for electricity trade. OSeMOSYS, a cost-optimization tool for long-term energy planning, is used to develop least cost system configurations. The electricity supply systems of forty-seven countries are modelled individually and linked via trade links to form TEMBA (The Electricity Model Base for Africa). A scenario comparison up to 2040 shows that an enhanced grid network can alter Africa's generation mix and reduce electricity generation cost. The insights have important investment, trade and policy implications, as specific projects can be identified as of major significance, and thus receive political support and funding.

Keywords
OSeMOSYS; African electricity supply; Electricity trade; Cost-optimization; TEMBA
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Energy Technology
Identifiers
urn:nbn:se:kth:diva-206738 (URN)10.1016/j.esd.2015.12.001 (DOI)000373032700004 ()
Note

QC 20170512

Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2018-12-03Bibliographically approved
Siyal, S. H., Mentis, D. & Howells, M. I. (2016). Mapping key economic indicators of onshore wind energy in Sweden by using a geospatial methodology. Energy Conversion and Management, 128, 211-226
Open this publication in new window or tab >>Mapping key economic indicators of onshore wind energy in Sweden by using a geospatial methodology
2016 (English)In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 128, p. 211-226Article in journal (Refereed) Published
Abstract [en]

Due to modern advancements in renewable energy systems and increasing prices of fossil fuels wind energy is getting a lot of attention all over the world. In this regard, Sweden also fixed motivated targets to get energy supply from local renewable energy resources. So, local wind power could help the country in achieving the targets. In this study, economic indicators of wind energy were spatially estimated for Sweden by using ArcGIS tool. In order to do this, as input data one-year high resolution modeled annual average wind data was processed by means of Rayleigh distribution, wind turbine power curve, land use constraints, technical constraints and economic parameters. Based on the input data, it was concluded that Sweden possesses economically feasible wind energy resource. The results of the study indicate that southern and central regions could produce economically viable wind electricity in all aspects as compared to the northern region of the country. Lastly, it was recommended to speed up wind energy penetration in Sweden, communal awareness and acceptance regarding the resource should be increased to avoid possible misunderstanding. Additionally, the capability of the national electric grid should be enhanced to take up the large scale unpredictable wind energy resource.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Economic, GIS, Indicators, Spatial, Wind electricity, Economics, Energy resources, Fossil fuels, Geographic information systems, Indicators (instruments), Input output programs, Land use, Renewable energy resources, Wind effects, Wind power, Wind turbines, Economic indicators, Economic parameters, Economically viable, Rayleigh distributions, Renewable energy systems, Technical constraints, Economic analysis
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-195204 (URN)10.1016/j.enconman.2016.09.055 (DOI)000388047800019 ()2-s2.0-84989227706 (Scopus ID)
Note

QC 20161202

Available from: 2016-12-02 Created: 2016-11-02 Last updated: 2019-03-15Bibliographically approved
Mentis, D., Hussain Siyal, S., Korkovelos, A. & Howells, M. A GIS based study to estimate the spatially explicit wind generated electricity cost in Africa.
Open this publication in new window or tab >>A GIS based study to estimate the spatially explicit wind generated electricity cost in Africa
(English)Article in journal (Refereed) Submitted
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-206823 (URN)
Note

QC 20170613

Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2017-06-13Bibliographically approved
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