A review of computer tools for analysing the integration of renewable energy into various energy systems

Connolly, David; Lund, Henrik; Mathiesen, Brian Vad; Leahy, Martin J.

doi:10.1016/j.apenergy.2009.09.026

Cited by 1,373 publications

(630 citation statements)

References 115 publications

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“…This is very used tool for simulations of integration of variable renewable energy sources [29], well documented [30,31] and with useful help file. The tool has been used in vast of technoeconomic studies for grid connected and islanded operated systems e.g.…”

Section: Methodsmentioning

confidence: 99%

Smart municipal energy grid within electricity market

Bjelić

Rajaković

Duić

2017

Energy

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The user has requested enhancement of the downloaded file. ABSTRACTA smart municipal energy grid including electricity and heat production infrastructure and electricity demand response has been modelled in HOMER case study with goal to decrease total community yearly energy costs. The optimal configuration and sizing, with minimal costs, have been presented and compared using scenarios. Smart municipal energy grids will have an important role in future electricity markets. Their flexibility as participants in electricity markets is increased with possibility to utilize excess electricity production from CHP and variable renewable energy sources through heat storage. The costs and technical, economical and environmental benefits of smart municipal energy grids will be discussed followed with conclusion.

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Section: Methodsmentioning

confidence: 99%

Smart municipal energy grid within electricity market

Bjelić

Rajaković

Duić

2017

Energy

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“…Over the last few decades, various methods have been developed for simulating the distribution of energy in a time-dependent manner [27]. These methods are based on mathematical models, and various optimization algorithms are applied [28,29] to investigate the optimal distributed energy system, considering electricity, heat and gas as energy carriers [30].…”

Section: Non-gis-based Approaches (Non-geospatial Methods)mentioning

confidence: 99%

“…Energy demand and potential analysis is an established planning tool at local and regional levels [27]. This analysis forms an important basis for the derivation of supply concepts and mitigation measures.…”

Section: Fine-grained Energy Demand Estimation From Freely-available mentioning

confidence: 99%

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Resch

Sagl

Törnros

et al. 2014

IJGI

124

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Abstract:In the face of the broad political call for an -energy turnaround‖, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from planned production towards fluctuating production on the basis of renewable energy sources, from centralized generation towards decentralized generation and from expensive energy carriers towards cost-free energy carriers. These changes necessitate considerable modifications of the energy infrastructure. Even though most of these modifications are inherently motivated by geospatial questions and challenges, the integration of energy system models and Geographic Information Systems (GIS) is still in its infancy. This paper analyzes the shortcomings of previous approaches in using GIS in renewable energy-related projects, extracts distinct challenges from these previous efforts and, finally, defines a set of core future research avenues for GIS-based energy infrastructure planning with a focus on the use of renewable energy. These future OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 663 research avenues comprise the availability base data and their -geospatial awareness‖, the development of a generic and unified data model, the usage of volunteered geographic information (VGI) and crowdsourced data in analysis processes, the integration of 3D building models and 3D data analysis, the incorporation of network topologies into GIS, the harmonization of the heterogeneous views on aggregation issues in the fields of energy and GIS, fine-grained energy demand estimation from freely-available data sources, decentralized storage facility planning, the investigation of GIS-based public participation mechanisms, the transition from purely structural to operational planning, data privacy aspects and, finally, the development of a new dynamic power market design.Keywords: integration of GIS and energy system models; GIS and renewable energy; GIS-based energy infrastructure planning; future research challenges; fluctuating renewables; structural planning of local energy systems; operation optimization

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“…Balmorel [7,8,9], MARKAL/TIMES [10,11,12], and EnergyPLAN [13,14,15]. An overview of existing energy systems models can be found in [16]. With the choice of model, it becomes necessary to assess whether the model can include varying properties of the two types of biogas and the target of biogas usage.…”

Section: Introductionmentioning

confidence: 99%

The impact of CO2-costs on biogas usage

Jensen

Skovsgaard

2017

Energy

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The Danish government has set a target of being fossil fuel independent by 2050 implying that a high degree of inflexible renewable energy will be included in the energy system; biogas can add flexibility and potentially has a negative CO 2 -emission. In this paper, we investigate the socioeconomic system costs of reaching a Danish biogas target of 3.8 PJ in the energy system, and how CO 2 -costs affect the system costs and biogas usage.We perform our analysis using the energy systems model, Balmorel, and expand the model with a common target for raw biogas and upgraded biogas (biomethane). Raw biogas can be used directly in heat and power production, while biomethane has the same properties as natural gas.Balmorel is altered such that natural gas and biomethane can be used in the same technologies.Several CO 2 -cost estimates are investigated; hereunder a high estimate for the expected CO 2 -externality costs. We find that system costs increase with CO 2 -costs in most cases, while the biogas target becomes socio-economically cheaper. In the case of a very high CO 2 -cost, system costs decrease and biomethane becomes the primary fuel. Furthermore, biomethane functions as regulating power and the Danish fuel consumption increases due to a higher electricity export.

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A review of computer tools for analysing the integration of renewable energy into various energy systems

Cited by 1,373 publications

References 115 publications

Smart municipal energy grid within electricity market

Smart municipal energy grid within electricity market

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

The impact of CO2-costs on biogas usage

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