Hybrid energy systems for off-grid power supply and hydrogen production based on renewable energy: A techno-economic analysis

2019 ◽  
Vol 196 ◽  
pp. 1068-1079 ◽  
Author(s):  
Z. Abdin ◽  
W. Mérida
Keyword(s):  
Renewable Energy ◽  
Hydrogen Production ◽  
Economic Analysis ◽  
Power Supply ◽  
Energy Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Systems

scholarly journals Modeling, Control, and Optimization of Multi-Generation and Hybrid Energy Systems

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1125
Author(s):  
Kody M. Powell ◽  
Kasra Mohammadi
Keyword(s):  
Renewable Energy ◽  
Energy Systems ◽  
Hybrid Energy ◽  
Renewable Energy Technologies ◽  
Energy Technologies ◽  
Hybrid Energy Systems ◽  
Increasing Trend

As renewable energy technologies decrease in cost and become more prevalent, there is an increasing trend towards electrification of many energy systems [...]

A Review on Optimization Modeling of Hybrid Energy Systems

2020 ◽  
pp. 29-62
Author(s):  
Marwa Mallek ◽  
Jalel Euchi ◽  
Yacin Jerbi
Keyword(s):  
Solar Wind ◽  
Renewable Energy ◽  
Rural Areas ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Health Impact ◽  
Health Impacts ◽  
Energy Sources ◽  
Hybrid Energy ◽  
Hybrid Energy Systems

Hybrid energy systems (HESs) are an excellent solution for electrification of remote rural areas where the grid extension is difficult or not economical. Usually, HES generally integrate one or several renewable energy sources such as solar, wind, hydropower, and geothermal with fossil fuel powered diesel/petrol generator to provide electric power where the electricity is either fed directly into the grid or to batteries for energy storage. This chapter presents a review on the solution approaches for determining the HES systems based on various objective functions (e.g. economic, social, technical, environmental and health impact). In order to take account of environmental and health impacts from energy systems, several energy optimization model was developed for minimizing pollution and maximizing the production of renewable energy.

scholarly journals Comparative review of hydrogen production technologies for nuclear hybrid energy systems

2020 ◽  
Vol 123 ◽  
pp. 103317 ◽  
Author(s):  
Roxanne Pinsky ◽  
Piyush Sabharwall ◽  
Jeremy Hartvigsen ◽  
James O’Brien
Keyword(s):  
Hydrogen Production ◽  
Energy Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Systems ◽  
Comparative Review ◽  
Production Technologies

Economic analysis of standalone hybrid energy systems for application in Tehran, Iran

2016 ◽  
Vol 41 (19) ◽  
pp. 7732-7743 ◽  
Author(s):  
Farivar Fazelpour ◽  
Nima Soltani ◽  
Marc A. Rosen
Keyword(s):  
Economic Analysis ◽  
Energy Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Systems

Assessment of hybrid urban renewable energy potential through sector coupling of photovoltaic electricity and geothermal heat

2021 ◽  
Author(s):  
Alina Walch ◽  
Romain Sibuet ◽  
Roberto Castello ◽  
Jean-Louis Scartezzini
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Demand ◽  
National Level ◽  
Energy Systems ◽  
National Scale ◽  
Energy Potential ◽  
Hybrid Energy ◽  
Hybrid Energy Systems ◽  
System Configurations

<p>To fulfil ambitious targets for reducing CO<sub>2</sub>-emissions in the building sector, the design of new neighbourhoods or the retrofitting of existing buildings requires an increasingly high use of renewable energy (REN). The coupling of heat and electricity in hybrid energy systems hereby plays a key role, as it allows to cover the needs of both sectors using renewable sources. Existing case studies of hybrid energy systems for individual buildings or neighbourhoods are often highly specific to a given location, and it is difficult to draw generalisable conclusions. This work hence aims at the development of a hybrid energy systems model based on large-scale databases of renewable energy potential with high spatial and temporal resolution, in this case for Switzerland. The resulting model may be used to obtain comparable results for case studies across the country or scaled up to the national level. For this, our approach integrates national-scale databases of hourly solar photovoltaic (PV) potential [1] and ground-source heat pump (GSHP) potential [2] for individual buildings with their modelled heat and electricity demand.</p><p>The presented work consists of three steps. First, hourly energy demand for heat and electricity of the residential and service sectors is derived for the entire Swiss building stock. The hourly demand model combines a top-down modelling of annual energy demand with a bottom-up mapping of hourly demand profiles. Second, the energy demand profiles are matched with the renewable energy potentials in hybrid energy systems, at the scale of individual buildings and neighbourhoods. We further add flexibility options to these systems, such as thermal energy storage. Third, the size of the renewable technologies and the storage options are optimised such as to maximise the autonomy level of the resulting hybrid energy systems. The autonomy level is obtained through the modelling of the system dynamics at monthly-mean-hourly temporal resolution, i.e. at hourly resolution for a typical day per month. This reduces the computational complexity of the approach and assures its scalability to the national level.</p><p>The above workflow is tested on a neighbourhood in Geneva, Switzerland, and the resulting optimal system configurations are compared across different building types in the residential and service sector, and for different shares of REN generation. We show how different system configurations, such as the combined use of PV and GSHPs, as well as the addition of flexibility through the use of a thermal energy storage, impact the self-sufficiency and autonomy level of buildings and neighbourhoods. While the presented work focuses on one neighbourhood only, future extensions will aim at applying the model to the Swiss national scale using all data in the national REN databases. This will allow to compare the feasibility of different system configurations with high REN shares across the country.</p><p> </p><p>[1] Alina Walch, Roberto Castello et al. ‘Big Data Mining for the Estimation of Hourly Rooftop Photovoltaic Potential and Its Uncertainty’. <em>Applied Energy</em> 262 (2020).</p><p>[2] Alina Walch, Nahid Mohajeri, et al. ‘Quantifying the Technical Geothermal Potential from Shallow Borehole Heat Exchangers at Regional Scale’. <em>Renewable Energy</em> 165 (2021).</p>

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