International Journal of Sustainable Energy Planning and Management 2018-07-01T18:56:26+02:00 Poul Alberg Østergaard Open Journal Systems <p>The IJSEPM is an international interdisciplinary journal in Sustainable Energy Planning and Management combining engineering and social science within Energy System Analysis, Feasibility Studies and Public Regulation.<br><br>The journal is an international interdisciplinary journal in Sustainable Energy Planning and Management combining engineering and social science within Energy System Analysis, Feasibility Studies and Public Regulation.&nbsp;</p> <p>The journal especially welcomes papers within the following three focus areas:</p> <ul> <li class="show">Energy System analysis including theories, methodologies, data handling and software tools as well as specific models and analyses at local, regional, country and/or global level.</li> <li class="show">Economics, Socio economics and Feasibility studies including theories and methodologies of institutional economics as well as specific feasibility studies and analyses.</li> <li class="show">Public Regulation and management including theories and methodologies as well as specific analyses and proposals in the light of the implementation and transition into sustainable energy systems.</li> </ul> <p>The journal is approved by the Norwegian bibliometric&nbsp;<a href=";bibsys=false&amp;request_locale=en">Kanalregister</a>&nbsp;as well as its Danish counterpart&nbsp;<a href="">BFI</a>.&nbsp;</p> <p>The journal is registered/indexed in/by&nbsp;<a href=";sort=cp-f&amp;src=s&amp;st1=journal+of+sustainable+energy+planning+and+management&amp;nlo=&amp;nlr=&amp;nls=&amp;sid=AC1664C401CEF186228B39264A2A35D7.wsnAw8kcdt7IPYLO0V48gA%3a10&amp;sot=b&amp;sdt=b&amp;sl=63&amp;s=SRCTITLE%28journal+of+sustainable+energy+planning+and+management%29&amp;ss=cp-f&amp;ps=r-f&amp;editSaveSearch=&amp;origin=resultslist&amp;zone=resultslist">Scopus</a>&nbsp;(Press link to see all published articles in IJSEPM), &nbsp;<a href="">Ulrichs Web</a>,&nbsp;<a href="">Directory of Open-Access Journals</a>,&nbsp;<a href="">Sherpa/Romeo</a>&nbsp;and&nbsp;<a href="">DataCite</a></p> Editorial - International Journal of Sustainable Energy Planning and Management Vol 17 2018-07-01T18:56:25+02:00 Poul Alberg Østergaard <p>This editorial introduces the 17<sup>th</sup> volume of the International Journal of Sustainable Energy Planning and Management. The volume present work on photo voltaic systems for decentralised applications and country studies of both Ghana, Kenya &amp; South Africa and of Rwanda. Finally, methodology development papers on decision-making and biomass resource estimation round off the volume.</p> <p>&nbsp;</p> 2018-06-05T00:00:00+02:00 ##submission.copyrightStatement## Grid integration of solar PV for multi-apartment buildings 2018-07-01T18:56:23+02:00 Smail Kozarcanin Gorm Bruun Andresen Several studies show that large installations of rooftop solar PV in residential low voltage grids, typically with many single family dwellings, may cause overvoltage issues during mid-day when local consumption is low and solar PV electricity generation high. Different so-called smart grid technologies, which often requires additional control, communication and monitoring equipment have been suggested to alleviate these and related problems. In this paper, solar PV integration is studied in the context of multi-apartment buildings where the rooftop potential is significant. To this end, the medium voltage grids of two multi-apartment areas, Bärnstenen and Alabastern in Vaxjö, Sweden are used as study cases. For these areas, it is found that active smart grid control or the introduction of new controllable load is not required. This finding applies to cases with very large solar PV installations corresponding to full coverage of the available rooftops and an annual yield corresponding to about eight times the annual electricity consumption. The conclusion is that multi-apartment residential areas may be ideally suited for large-scale solar PV installations without the need for smart grid infrastructure. These findings are contrary to, but not in disagreement with previous findings for low voltage residential grids. 2018-06-05T21:21:25+02:00 ##submission.copyrightStatement## Community electricity and storage central management for multi-dwelling developments: an analysis of operating options 2018-07-01T18:56:26+02:00 Elizabeth Tomc Anthony M Vassallo A combination of PV, storage and energy management in multi-dwelling developments can be very effective in utilising load diversity and reducing grid dependence.  Sharing PV and electricity storage resources within a community renewable energy network (CREN) via an energy management system (EMS) shifts the peak individual loads to times that the grid considers off-peak periods - i.e. night time – so managed off-peak charging and a retail plan with the lowest off-peak pricing affords the community savings in the order of 95.5% compared to the traditional individual grid connection.  The balancing performed by the EMS eliminates the paradox of concomitant demand and supply from/to grid that occurs when some of the individual systems in the community have available charge while others don’t.  The optimisation of off-peak charging avoids 54% of redundant charge which is a financial gain in jurisdictions where feed-in tariffs are much lower than supply charges.  Even though this study focuses on an Australian case study it provides a tool that allows the performance of the same analysis for other specific sites and load profiles. 2018-06-05T00:00:00+02:00 ##submission.copyrightStatement## A time series analysis of fossil fuel consumption in Sub-Saharan Africa: evidence from Ghana, Kenya and South Africa 2018-07-01T18:56:22+02:00 Paul Adjei Kwakwa George Adu Anthony Kofi Osei-Fosu <p>This study investigated the determinants of the rising fossil fuel consumption for three Sub-Saharan African countries - Ghana, Kenya and South Africa - to help manage the rising consumption fossil fuel consumption. The study employed the Fully Modified Ordinary Least Square and Canonical co-integration regression techniques using data from 1975-2013. Among other results, the study revealed that income and urbanization increased fossil fuel consumption for all the countries. Also, while trade reduced fossil fuel consumption for Kenya and South Africa, the opposite was found for Ghana while the efficiency of the service sector reduced fossil fuel consumption for all the countries. The results of the study suggest efforts should be geared towards strengthening the energy efficiency system in each of these countries to help reduce fossil fuel consumption. Also, it is necessary that tariff and non-tariff barriers on products that do not promote energy efficiency is raised and vice versa, <em>inter alia</em>.</p> 2018-06-05T21:25:52+02:00 ##submission.copyrightStatement## Assessment of a climate-resilient and low-carbon power supply scenario for Rwanda 2018-07-01T18:56:21+02:00 Théoneste Uhorakeye Bernd Möller <p style="margin: 6pt -0.05pt 0.25pt -0.25pt; text-align: justify; line-height: 102%; text-indent: -0.55pt;"><span lang="EN-GB" style="line-height: 102%; font-family: 'Verdana',sans-serif; font-size: 9pt; mso-fareast-font-family: Calibri; mso-bidi-font-family: Calibri; mso-ansi-language: EN-GB; mso-fareast-language: FR;">Renewable energy sources are increasingly playing a key role in the transition to a low-carbon based economy while maintaining cost and environmental effectiveness. However, climate change threatens this opportunity especially in countries like Rwanda where the share of hydropower in the total electricity supply mix is high. This study assessed the evolution of Rwanda’s electricity demand towards 2050 and developed a power supply scenario that considers impacts of climate change on the country’s hydropower generation. Based on the findings of the study, it was concluded that the developed scenario is resilient since it meets the projected demand when impacts of climate change are accounted for. Moreover, the scenario ensures the security of the country’s electricity supply because it only relies on domestic energy resources. Furthermore, the suggested scenario positions the country to a low-carbon development pathway compared to the existing power supply plans. </span></p> 2018-06-05T21:30:43+02:00 ##submission.copyrightStatement## Introducing Multi-Stage Qualification for Micro-Level Decision-Making (MSQMLDM) Method in the Energy Sector – A case study of Photovoltaic and Wind Power in Tehran 2018-07-01T18:56:19+02:00 Sami Saleki <p>Buildings are consuming approximately 60% of the total electricity supply and 40% of the primary energy consumption around the world. Further, they are responsible for approximately one third of the greenhouse gas (GHG) emissions. Various approaches have been adopted to reduce energy consumption and GHG emissions in buildings such as green buildings and low-carbon buildings. In spite of the existing differences among these methods, some similarities are available, especially in using renewable energy. The present study aims to create a method for non-experts such as architects and building owners to choose the best renewable building-integrated power production units based on multiple criteria. Multi-Stage Qualification for Micro-Level Decision-Making (MSQMLDM) method is implemented to compare the electric power production units from renewable and non-renewable sources in term of technical and financial clusters. The application of the new method seems easier than the conventional Multi-Criteria Decision Making (MCDM) models, which is mostly performed by experts. Results indicates that photovoltaic and wind turbine should be adopted as two types of renewable energy technologies in Tehran. These technologies were investigated by MSQMLDM method based on different technical and energy policy conditions. Then, the best choices were classified by Preference logic, based on Optimality Theory (OT). Finally, the best choices were ranked based on cost priority and payback period priority. Based on the results, photovoltaic system without battery, with selling-contract and subsidy is regarded as the best alternative. The method tries to simplify the use of MCDM models by focusing on technical and financial issues. It is predicted that this method could be useful for larger scale projects by adding other important technical or financial priorities to the sequence.</p> 2018-06-05T21:33:09+02:00 ##submission.copyrightStatement## Biomass estimation using LiDAR data 2018-07-01T18:55:53+02:00 Leyre Torre <p align="justify"><span><span style="font-size: medium;">Forest ecosystems play a very important role in carbon cycle because they suppose one of the biggest carbon reservoirs and sinks. Estimating the aboveground forest biomass is critical to understand the global carbon storage process. Different models to estimate aboveground biomass in the Pinus radiata specie in a specific region of Spain have been developed, using, exclusively, public and accessible data with low point density gathered periodically from Light Detection and Ranging (LiDAR) flights. The point clouds data were processed to obtain metrics considered as predictive variables and afterwards, the multiple regression technique has been applied to generate the biomass estimation models. The best models explain 76% of its variability with a standard error of 0.26 ton/ha in logarithmic units. The methodology can be considered as highly automated and extensible to other territories with similar characteristics. Our results support the use of this approach for more sustainable management of forest areas.</span></span></p> 2018-06-05T21:36:58+02:00 ##submission.copyrightStatement##