International Journal of Sustainable Energy Planning and Management <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 focuses on these three areas:</p> <p>- Energy System analysis including theories, methodologies, data handling and software tools as well as specific scenarios, models and analyses at local, regional, country and global level.</p> <p>- Economics, Socio economics and Feasibility studies including theories and methodologies of institutional economics as well as specific feasibility studies and analyses.</p> <p>- 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.</p> <p>Our target scale is&nbsp;</p> <p>IJSEPM 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> en-US <p><a href=""><img src="/public/site/images/admin/cc_88.png" alt=""></a></p> <p>Articles published in International Journal of Sustainable Energy Planning and Management&nbsp;are following the license&nbsp;<a href="">Creative Commons&nbsp;Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)</a></p> <p>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License: Attribution - NonCommercial - NoDerivs (by-nc-nd). Further information about&nbsp;<a href="">Creative Commons</a></p> <p>Authors can archive post-print&nbsp;(final draft post-refereering) on personal websites or institutional repositories under these conditions:</p> <ul> <li class="show">Publishers version cannot be stored elsewhere but on publishers homepage</li> <li class="show">Published source must be acknowledged</li> <li class="show">Must link to publisher version</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> (Poul Alberg Østergaard) (Poul Alberg Østergaard) Thu, 01 Aug 2019 16:34:44 +0200 OJS 60 Development in Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems <p>The conference series <em>International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems</em> – abbreviated ECOS has been at the forefront of the scientific development in energy systems for over three decades. 2018 saw the 31<sup>st</sup> edition of ECOS held in Guimarães, Portugal. The venue received the contribution of over three hundred papers ranging over selected 19 topics, covering aspects related to thermodynamics, energy systems integration and optimization, planning, cogeneration of heat and power, environmental issues, amongst others.</p> <p>A number of the contributions were invited to the present special issue of the International Journal of Sustainable Energy Planning and Management, and eight of these were after the selection and reviewing process considered to bring the best contributions to the field. These articles address rural household appliance ownership, how much flexibility there is in the Bolivian electricity system to accommodate wind power and photo voltaics, national exergy analyses of Bolivia and thermal imagery of buildings to asses heat losses from these.</p> <p>Other work focus on polygeneration system combining renewable energy sources, cogeneration of&nbsp; heat, cooling and power to supply district heating and cooling in a case area in Italy. In the same area, a mobile thermal energy storage using phase change material is proposed as a way to connect heat sources and heat demands. For the future electrification of the transportation sector and for system design, reliable data on driving cycles are required thus methods for assessing these are presented, followed by analyses of high penetrations of electricity in the transportation system through various technological options.</p> José Carlos Fernandes Teixeira; Poul Alberg Østergaard (Journal manager) ##submission.copyrightStatement## Wed, 03 Jul 2019 00:00:00 +0200 Design of a polygeneration system with optimal management for a dhc network <p><span lang="EN-GB">Nowadays, District Heating and Cooling (DHC) networks represent a viable and efficient way to distribute energy for space heating and cooling in urban areas with high density demand. This is particularly true in a context characterized by higher fuel price and restrictive regulatory framework. DHC systems give the possibility to integrate energy sources available in the territory and supply thermal energy vector to a conveniently large number of end-users; these are thus potentially capable to cover the demand at lower costs, higher efficiency and reduced emissions compared to not centralized systems. In Europe, the Directive 2012/27/EU pointed out the need for these systems, introducing the definition of ‘efficient DHC’: at least 50% of renewable energy, 50% of waste heat, 75% of cogenerated heat or 50% of a combination of such energy and heat should be used.</span></p> <p><span lang="EN-GB">This paper presents the design assessment of the generation facilities for an existing DHC network located in the northern part of Italy. The design stage considers boiler, Combined Heat and Power (CHP), solar thermal, absorption/electric chiller and other low enthalpy sources as options of the case study. The sizes of the generation units are defined according to the heating/cooling demand of the buildings supplied by the DHC, the estimated network losses and the present regulatory framework. The plant management is identified through an optimization procedure capable to minimize the operational costs according to the technical characteristics and constraints of the plant. Four different configurations with increasing costs saving, installation costs, Renewable Energy Sources (RES) generation and Primary Energy Saving (PES) are presented. A preliminary economic evaluation is also presented for the various configurations considering the Italian incentive schemes. Finally, an energy assessment is presented to highlight the share of the different sources in each configuration and to evaluate their compliance to the EU Directive on efficient DHC .</span></p> <p>&nbsp;</p> Paolo Lazzeroni ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Optimal designs for efficient mobility service for hybrid electric vehicles <p>The priority of the automotive industry is to reduce the energy consumption and the emissions of the future passenger cars and to deliver an efficient mobility service for the customers.</p> <p>The improvement of the efficiency of vehicle energy systems promotes an active search to find innovative solutions during the design process. Engineers can use computer-aided processes to find automatically the best design solutions. This kind of approach named “multi-objective optimization” is based on genetic algorithms. The idea is to obtain simultaneously a population of possible design solutions corresponding to the most efficient energy system definition for a vehicle. These solutions will be optimal from technical, economic and environmental point of view. The “genetic intelligence” is tested for the holistic design of the environomic vehicle powertrain solutions. The environomic methodology for design is applied on D-class hybrid electric vehicles, in order to explore the techno-economic and environmental trade-off for different hybridization level of the vehicles powertrains. The method gives also an overview of the evolution of environmental categories indicators as a function of the cost of the vehicles.</p> Zlatina Kirilova Dimitrova, François Maréchal ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Modelling of rural electrical appliances saturation in developing countries to project their electricity demand: A case study of sub-Saharan Africa <p>Rural electrification projects are mostly listed as a priority in developing countries due to the numerous benefits it brings to improve people’s quality of life. The starting point for these projects is the accurate estimation of the households’ energy demand, but the large amount of resources that requires the on-site data collection makes this process unattractive to investors. This paper brings a potential solution to that matter, presenting a methodology for modelling the appliances saturation of rural households in developing countries to project their electricity demand. Based on a statistical approach, and including training data from more than 1,100 household samples from Nigeria and Ethiopia, the correlation between household survey data of saturation rates of the most common electricity-consuming appliances in developing countries and different socio-economic, demographic and geographic variables are investigated. Its accuracy is tested using other sets of validation data at a household, state, and national level. Finally, the results are projected using a Geographic Information Systems approach for identifying possible sites to be electrified. The high potential of using this approach for projecting the appliances saturation rates for rural areas was proven by obtaining a good overall accuracy in the results. As expected, the errors obtained at a household level were bigger than at a state or national level, these deviations are attributed to the presence of outliers due to the human behaviour incidence at household scale; which also affects the correlation patterns between the appliances ownership and evident socioeconomic factors.</p> Cristina Dominguez, Kristina Orehounig, Jan Carmeliet ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Techno-economic assessment of high variable renewable energy penetration in the Bolivian interconnected electric system <p>Bolivia plans significant investments in conventional and renewable energy projects before 2025. Deployment of large hydro-power, wind and solar projects are foreseen in the investment agenda. However and despite the large renewable potential in the country non-conventional renewable technologies are not yet considered to be a main source in the supply chain. The aim of this article is to evaluate the flexibility of the Bolivian power generation system in terms of energy balancing, electricity generation costs and power plants scheduling in a scenario that considers large solar and wind energy technology deployment. This is done using an open source unit commitment and optimal dispatch model (Dispa-SET) developed by the Joint Research Center of the European Commission. National data for existing infrastructure, committed and planned energy projects are used to assess the case of Bolivia. &nbsp;The base scenario consider all techno-economic data of the Bolivian power system up to 2016. A harmonized dataset is gathered and released as open data to allow other researchers to run and re-use the model. This model is then used to simulate scenarios with different levels of solar and wind energy deployment. Results from the analysis show that an energy mix with participation of solar and wind technology with values lower than 30% is technically feasible and indicates that further grid reinforcements are required.</p> Ray Antonio Rojas Candia, Sergio Luis Balderrama Subieta, Joseph Adhemar Araoz Ramos, Vicente Senosiain Miquélez, Jenny Gabriela Peña Balderrama, Hernan Jaldín Florero, Sylvain Quoilin ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Techno-Economic Design and Social Integration of Mobile Thermal Energy Storage (M-TES) within the Tourism Industry <p>Industrial facilities including power plants are potential sources of cheap and low-carbon waste heat, which is often not utilized due to lack of techno-economically viable options. The present paper is based on a case study focussing at Albena tourist resort in Bulgaria to design and develop a potential Mobile Thermal Energy Storage (M-TES) system for waste heat utilization from an existing biogas-based combined heat and power (CHP) plant. Besides techno-economics, integration of the system within existing premises, freight weight, space constraint and hotel occupancy are crucial factors. Scheduling, along with the frequency of container change determines both the economic and social viability of such a project. A conceptual system design tailored to maximize energy utilization within the given constraints has been made. Core of the system is 5 containers of 15.9 tons each, with one pulling truck for minimal visibility of the transportation and a two-day container discharge cycle.&nbsp; A net reduction of 558 to 885 MWh per year of electricity consumption from existing electric boilers was calculated with a payback period of 7 to 14 years based on typical summer or yearly operation of hotels. The corresponding CO<sub>2</sub> savings was 96.7%. Hybridization with Solar Thermal Systems can provide a complete substitution of the use of traditional energy sources for domestic hot water.</p> Archishman Bose, Mohammad Samir Ahmed, Denitsa Dobrinova Kuzeva, Johannes van Kasteren ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Comparison of driving cycles obtained by the Micro-trips, Markov-chains and MWD-CP methods <p>This work compared the Micro-trips, Markov-chains and the MWD-CP methods in their ability of constructing driving cycles (DCs) that represent local driving patterns. For this purpose, we used a database made of 138 time series of speed obtained monitoring during two months a fleet of 15 transit buses operating on roads with different levels of service, traffic and road grades, under normal conditions of use. Then, we used 16 characteristic parameters, such as mean speed or positive kinetic energy, to describe the driving pattern of the buses’ drivers monitored. Subsequently, we implemented three of the most widely used methods to construct DCs using this common database as input data. Finally, we evaluated the degree of representativeness of the local driving pattern contained in each of the obtained DCs. Toward that end we defined that a DC represents a driving pattern when its characteristic parameters are equal to the characteristic parameter of the driving pattern. Therefore, we used as criteria of representativeness the relative differences between paired characteristic parameters, and observed that the MWD-CP method produced the DC that best represents the driving pattern in the region where the buses were monitored, followed by the DC produced by the Micro-trips method.</p> José Ignacio Huertas, Luis Felipe Quirama, Michael Daniel Giraldo, Jenny Diaz ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Modelling the spatial energy diversity in sub-city areas using remote sensors <p>This research paper aims first to present in a digital map a class information about surface temperature in domestic buildings by means of thermal imagery. The classes are relative to the particular temperature distribution and for the particular night of the survey. Classification assigns every pixel into one of five classes based on where the pixel falls in the histogram, into an integer between 1 and 5, with 1 representing being the “coolest” pixels and 5 being the “hottest” resolution, based on a case study acquired over Newcastle upon Tyne (United Kingdom). The ultimate aim is combine this information with building level data set for Newcastle and adds on the energy modelling aspect through linking with the English House Survey (EHS) as input to the Cambridge Housing Model (CHM). This provides the means to produce building level energy use estimates and surface temperature, which in turn can be analysed both spatially and aspatially. This building level approach provides the potential for energy planners and other bodies to model energy interventions measures with flexibility in scale and to potentially adapt plans to the spatial variability of the local area characteristics.</p> Javier Urquizo, Carlos Calderón, Philip James ##submission.copyrightStatement## Thu, 20 Jun 2019 00:00:00 +0200 Exergy analysis of the Colombian energy matrix: An insight from its economic sectors and energy resources <p>In this paper, the exergy analysis of the Colombian energy matrix for the years 1975,1993, 2012 and 2016 is developed, based on data measured by the Colombian Planning Office of Mining and Energy (UPME) along with the reported values of the general exergy performance of industrial processes and other specific to the productive activities of the Colombian energy matrix. Differently from the existent evaluation methodology of the Latin American Energy Organization (OLADE), in this work, a methodology based on the concept of exergy (i.e. the combined analysis of the First and Second law of the Thermodynamics) is used to assess the performance of each economic sector without the need for differentiating between primary and secondary resources. The exergy performance of the utilization of the various energy resources through the different economic sectors is represented via Grassmann diagrams from two points of view, namely representing the exergy losses by energy resource and determining the exergy losses by economic sector. The first approach focuses on the study of how the resources are used in the Colombian energy matrix, whereas the latter one focuses on how efficient the Colombian economic sectors perform. As a novel outcome, it was possible to evidence an increasing trend, although still incipient, of the evolution of the overall exergy efficiency of the Colombian energy sectors. These results prove to be useful in identifying the actual bottlenecks and forecast the future shortcomings that the planning offices and economic decision-makers will face in the scenario of a newly industrializing country with a growing and energy demanding population.</p> Hector Ivan Velasquez, Carlos Andres Orozco Loaiza, Juan Carlos Maya, Daniel Florez-Orrego, Sergio Lopera ##submission.copyrightStatement## Mon, 22 Jul 2019 00:00:00 +0200