How to model a complex national energy system? Developing an integrated energy systems framework for long-term energy and emissions analysis

Nuclear power plants are looking towards integrated energy systems to address the challenges faced by increasing competition from renewable energy and cheap natural gas in wholesale electricity markets. Electricity-hydrogen hybrid operations is one potential technology being explored. As part of this investigation a human factors team was integrated into the overall engineering project to develop a human system interface (HSI) for a novel system to extract steam for a coupled hydrogen production process. This paper presents the process used to perform the nuclear specific human factors engineering required to develop the HSI for this novel and unprecedented system. Furthermore, the early integration of the human factors team and the meaningful improvements to the engineering of the system itself in addition to the successful development of the HSI for this particular application are described. Lastly, the HSI developed is presented to demonstrate the culmination of the process and disseminate a potential HSI design for electricity-hydrogen hybrid operations that may be useful for others exploring similar integrated energy systems concepts.

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Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under CO2 Emission Abatement Control: A Case Study in Dalian, China

Energies ◽

10.3390/en14102879 ◽

2021 ◽

Vol 14 (10) ◽

pp. 2879

Author(s):

Xinxin Liu ◽

Nan Li ◽

Feng Liu ◽

Hailin Mu ◽

Longxi Li ◽

...

Keyword(s):

Renewable Energy ◽

Optimal Design ◽

Co2 Emission ◽

Energy Demand ◽

Energy Systems ◽

Energy System ◽

Mixed Integer ◽

Total Annual Cost ◽

Emission Abatement ◽

Integrated Energy Systems

Optimal design of regional integrated energy systems (RIES) offers great potential for better managing energy sources, lower costs and reducing environmental impact. To capture the transition process from fossil fuel to renewable energy, a flexible RIES, including the traditional energy system (TES) based on the coal and biomass based distributed energy system (BDES), was designed to meet a regional multiple energy demand. In this paper, we analyze multiple scenarios based on a new rural community in Dalian (China) to capture the relationship among the energy supply cost, increased share of biomass, system configuration transformation, and renewable subsidy according to regional CO2 emission abatement control targets. A mixed integer linear programming (MILP) model was developed to find the optimal solutions. The results indicated that a 40.58% increase in the share of biomass in the RIES was the most cost-effective way as compared to the separate TES and BDES. Based on the RIES with minimal cost, by setting a CO2 emission reduction control within 40%, the RIES could ensure a competitive total annual cost as compared to the TES. In addition, when the reduction control exceeds 40%, a subsidy of 53.83 to 261.26 RMB/t of biomass would be needed to cover the extra cost to further increase the share of biomass resource and decrease the CO2 emission.

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Real Options based Optimal Planning for Integrated Energy Systems under Long-term Uncertainties

10.1109/pesgm46819.2021.9638245 ◽

2021 ◽

Author(s):

Shuang Cheng ◽

Chenghong Gu ◽

Xinhe Yang ◽

Junlong Li

Keyword(s):

Real Options ◽

Energy Systems ◽

Optimal Planning ◽

Integrated Energy Systems

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Improved Representation of the European Power Grid in Long Term Energy System Models: Case Study of JRC-EU-TIMES

Lecture Notes in Energy - Informing Energy and Climate Policies Using Energy Systems Models ◽

10.1007/978-3-319-16540-0_12 ◽

2015 ◽

pp. 201-222 ◽

Cited By ~ 1

Author(s):

Wouter Nijs ◽

Sofia Simoes ◽

Alessandra Sgobbi ◽

Pablo Ruiz-Castello ◽

Christian Thiel ◽

...

Keyword(s):

Power Grid ◽

Energy System ◽

System Models ◽

Term Energy

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The implications of uncertain renewable resource potentials for global wind and solar electricity projections

Environmental Research Letters ◽

10.1088/1748-9326/ac3c6b ◽

2021 ◽

Author(s):

Silvia Regina Santos da Silva ◽

Gokul C Iyer ◽

Thomas Bernard Wild ◽

Mohamad I. Hejazi ◽

Chris R. Vernon ◽

...

Keyword(s):

Climate Models ◽

Renewable Resource ◽

Energy System ◽

Climate Impacts ◽

Solar Pv ◽

Analysis Model ◽

Change Analysis ◽

Term Energy ◽

Substantial Uncertainty

Abstract Studies exploring long-term energy system transitions rely on resource cost-supply curves derived from estimates of renewable energy (RE) potentials to generate wind and solar power projections. However, estimates of RE potentials are characterized by large uncertainties stemming from methodological assumptions that vary across studies, including factors such as the suitability of land and the performance and configuration of technology. Based on a synthesis of modeling approaches and parameter values used in prior studies, we explore the implications of these uncertain assumptions for onshore wind and solar PV electricity generation projections globally using the Global Change Analysis Model (GCAM). We show that variability in parametric assumptions related to land use (e.g., land suitability) are responsible for the most substantial uncertainty in both wind and solar generation projections. Additionally, assumptions about the average turbine installation density and turbine technology are responsible for substantial uncertainty in wind generation projections. Under scenarios that account for climate impacts on wind and solar energy, we find that these parametric uncertainties are far more significant than those emerging from differences in climate models and scenarios in a global assessment, but uncertainty surrounding climate impacts (across models and scenarios) have significant effects regionally, especially for wind. Our analysis suggests the need for studies focusing on long-term energy system transitions to account for this uncertainty.

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