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Optimization of a regional energy system including CHP plants and local PV system and hydropower: Scenarios for the County of Västmanland in Sweden
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-7576-760x
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-8191-4901
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-3485-5440
2019 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 230, p. 1111-1127Article in journal (Refereed) Published
Abstract [en]

Providing the energy needs of the cumulatively increasing population has become a challenge for the regional energy systems in the world. The most critical challenge is to supply enough energy in the forms of heat and power during the cold and warm periods of the year with the lowest production cost and minimum environmental impacts. A solution is to increase the green energy supply from renewable energy resources such as solar, wind power, and hydropower. In order to apply this solution in the real energy system, potentials for clean energy supply in an optimized manner should be evaluated. In this study, an optimization model is developed for a regional energy system in the central part of Sweden. The studied system consists of Combined Heat and Power (CHP)plants and heat water boilers together with renewable energy supply from rooftop Photo Voltaic (PV)- solar collectors and regional hydropower plants. The General Algebraic Modeling System (GAMS)is used to create the model based on the Mixed Integer Linear Programming (MILP)method. The goal is to evaluate the influence of local renewable energy systems on the production planning of CHP plants in a region. Two different scenarios are investigated based on the extremes in energy supply and demand concerning the increased use of Electrical Vehicles (EVs)and more application of Heat Pumps (HPs)in the system. The results show that installation of rooftop PV systems has the potential to reduce the electricity import to the region; however, it will at the same time reduce the operation time of the CHP plans during the summer period. With increased use of HPs for heating, the shut off time for CHP plants is further increased. Increase in electric passenger cars penetration in the system has no impacts on the production profiles of the plants. The regional electricity demand grows significantly by more utilization of EVs and increased application of heat pumps in the studied system. The high electricity demand will mainly be satisfied by importing electricity from outside the region together with low production from CHP plants and the power generated by the rooftop PV systems and regional hydropower. The developed optimization model with studied scenarios can be applied to other energy systems to increase the knowledge of production planning and feasibility of a fossil fuel free energy system.

Place, publisher, year, edition, pages
Elsevier Ltd , 2019. Vol. 230, p. 1111-1127
Keywords [en]
Electrical vehicle, Heat pump, Optimization, Production planning, Renewable energy resource, Algebra, Cogeneration plants, Economics, Electric power utilization, Energy policy, Environmental impact, Fossil fuels, Free energy, Heat pump systems, Hydroelectric power, Hydroelectric power plants, Integer programming, Planning, Power generation, Production control, Pumps, Renewable energy resources, Wind power, Clean energy supplies, Combined heat and power, Electrical vehicles, Heat pumps, Mixed-integer linear programming, Optimization modeling, Regional energy systems, Electric power system interconnection
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-43876DOI: 10.1016/j.jclepro.2019.05.086ISI: 000474676300098Scopus ID: 2-s2.0-85065879762OAI: oai:DiVA.org:mdh-43876DiVA, id: diva2:1323097
Available from: 2019-06-11 Created: 2019-06-11 Last updated: 2019-10-23Bibliographically approved
In thesis
1. Production planning of CHP plants integrated with bioethanol production and local renewables
Open this publication in new window or tab >>Production planning of CHP plants integrated with bioethanol production and local renewables
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Production planning of an energy system is dependent on parameters such as energy demand and energy conversion technologies, which are influential in making decisions on operation strategy and optimal performance of the system. In accordance with the European Union energy policy, the share of renewable resources in the energy supply is growing. Improvement in energy technology is considered to be a pathway to achieve the target of 100% renewable power supply in Sweden by 2040. Increased utilization of renewable resources in energy systems and transportation sectors as well as improved energy conversion technologies would add complexity to the systems. Development of such complex systems depends on several key parameters, including availability of local resources, changes in daily energy use behavior, market price and weather conditions. Therefore, optimization and long-term production planning of such systems will be crucial considering the alternating nature of renewable resources.  

The aim of this thesis is to develop an optimization model for a regional energy system to provide advanced knowledge for production planning for combined heat and power (CHP) plants. The energy system in the county of Västmanland in central Sweden is used as the case for study. The regional system consists of CHP plants, heat only boilers and renewable resources. Two different optimization cases are developed for the analysis, one with increased energy supply from local renewables, and the other with integrated transport fuels production in a polygeneration system. The model includes the whole chain from availability of resources to the final energy use. 

The effect of different parameters relating to trends in energy demand and supply on operational strategy of the studied system is investigated by developing different scenarios. The potential solar power production from grid-connected solar cells installed on the rooftops of buildings in the region is added to the system in the base scenario. Then, the first scenario analyzes the increased application of heat pumps to replace the district heating in some of the buildings in the region. The influence of electrification of the transportation system as a result of increased penetration of electric vehicles is investigated in the second scenario. Two further scenarios evaluate the effects of integration of bioethanol production with existing CHP plants and increased application of bioethanol cars and hybrid vehicles in the regional transportation system. 

The study demonstrates the importance of production planning of the energy system at the regional scale in relation to resource availability and energy imports. The main conclusion of this thesis is that the polygeneration and increased use of heat pumps could influence the production planning of the system in terms of fuel use, plants operation, fossil-based emissions, and energy demand and import. However, increased use of hybrid vehicles represents the optimal case for the mentioned parameters.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2019
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 285
Keywords
CHP, Energy systems, Optimization, Polygeneration, Production planning, Renewable resources
National Category
Energy Engineering Energy Systems
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-45801 (URN)978-91-7485-445-9 (ISBN)
Presentation
2019-12-16, Beta, Mälardalen University, Västerås, 09:15 (English)
Opponent
Supervisors
Projects
SYDPOL-System Development for Power Plant Production Planning and Optimal Operations
Available from: 2019-10-23 Created: 2019-10-23 Last updated: 2019-11-14Bibliographically approved

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Daraei, MahsaAvelin, AndersThorin, Eva

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