scholarly journals Development of integrated renewable energy system model for rural productivity zone in East Nusa Tenggara

2019 ◽  
Vol 543 ◽  
pp. 012070
Author(s):  
N P Salsabila ◽  
W W Purwanto ◽  
M R Fuad
Keyword(s):  
Renewable Energy ◽  
Energy System ◽  
System Model ◽  
Energy System Model ◽  
Renewable Energy System

How clean is your ‘clean’ energy? The ENVIRO module for energy system models

2021 ◽  
Author(s):  
Nicholas Martin ◽  
Cristina Madrid-López ◽  
Laura Talens-Peiró ◽  
Bryn Pickering
Keyword(s):  
Renewable Energy ◽  
Environmental Impacts ◽  
Energy Systems ◽  
Energy System ◽  
Raw Material ◽  
Energy System Model ◽  
Multi Scale ◽  
Renewable Energy System ◽  
Trade Offs ◽  
The Eu

<p>A decarbonized, renewable energy system is generally assumed to represent a cleaner and more sustainable one. However, while they do promise day-to-day reductions in carbon emissions, many other environmental impacts could occur, and these are often overlooked. Indeed, in the two documents that form the EU Energy Union Strategy (COM/2015/080) the words ‘water’, ‘biodiversity’ or ‘raw materials’ do not appear. This ‘tunnel vision’ is often also adopted in current energy systems models, which do not generally provide a detailed analysis of all of the environmental impacts that accompany different energy scenarios. Ignoring the trade-offs between energy systems and other resources can result in misleading information and misguided policy making.</p><p>The environmental assessment module ENVIRO combines the bottom up, high resolution capabilities of life cycle assessment (LCA) with the hierarchical multi-scale upscaling capabilities of the Multi-Scale Integrated Assessment of Socioecosystem Metabolism (MuSIASEM) approach in an effort to address this gap. ENVIRO also takes the systemic trade-offs associated with the water-energy-food-(land-climate-etc.) nexus from MuSIASEM while considering the supply chain perspective of LCA. The module contains a built-in set of indicators that serve to assess the constraints that greenhouse gas (GHG) emissions, pollution, water use and raw material demands pose to renewable energy system scenarios. It can be used to assess the coherence between energy decarbonization targets and water or raw material targets; this can be extended to potentially any economic or political target that has a biophysical component.</p><p>In this work, we introduce the semantics and formalization aspects of ENVIRO, its integration with the energy system model Calliope, and the results of a first testing of the module in the assessment of decarbonization scenarios for the EU. The work is part of the research developed in the H2020 Project SENTINEL: Sustainable Energy Transition Laboratory (contract 837089).</p>

scholarly journals Interaction between atmospheric model resolution and energy system model topology

2021 ◽  
Author(s):  
Matthias Zech ◽  
Oriol Raventós ◽  
Ontje Lünsdorf ◽  
Lueder von Bremen
Keyword(s):  
Renewable Energy ◽  
Energy System ◽  
Atmospheric Model ◽  
System Model ◽  
Weather Data ◽  
Model Resolution ◽  
Energy System Model ◽  
Grid Points ◽  
The Impact ◽  
Model Topology

<p>With the increasing penetration of renewable energy capacities in the European energy system, the electricity generators have shifted from centralized power plants to decentralized, weather-dependent wind turbines and photovoltaic systems. Energy system models now rely on skillful weather data to estimate renewable energy feedins on electricity bus levels. These feedins are usually calculated by bilinearly interpolating the closest atmospheric model grid points to the electricity network bus locations. This comes to the cost of averaging multiple atmospheric model grid points reducing overall atmospheric model variability. In addition, electricity grids are often modeled in clustered representations in terms of number of lines and buses. The number of buses is usually much smaller than the number of atmospheric model grid points and therefore some grid points and their characteristics may not be taken into account in highly clustered networks. So far, this interconnection between atmospheric model resolution and electricity grid topology has not been widely investigated.</p><p>This study approaches the question if and to what extent the atmospheric model resolution affects the energy system model results. The regional reanalysis COSMO-REA6 is used as a reference data and its resolution is artificially reduced. This allows to compare the loss of information (mainly variability) due to a lower grid point resolution. The weather data is then used within different energy system network topologies to determine the corresponding renewable energy feedins at bus levels. A subsequent optimal power flow model estimates the impact on energy system metrics as storage usage and economic dispatch costs to further understand the relationship between atmospheric model resolution and energy system model topology. This study provides useful insights to choose the appropriate resolution of the atmospheric model input given an energy system model. </p>

Research on Sustainable Development Mechanism of Renewable Energy Using System Theory

2013 ◽  
Vol 779-780 ◽  
pp. 1320-1323 ◽  
Author(s):  
Chun Yan Diao ◽  
Jian Feng Li
Keyword(s):  
System Theory ◽  
Sustainable Development ◽  
Renewable Energy ◽  
Energy System ◽  
Energy Development ◽  
System Structure ◽  
Special Effect ◽  
Energy System Model ◽  
Renewable Energy System ◽  
Renewable Energy Development

The key elements and internal mechanism of renewable energy development are studied on the basis of system theory. 3E system - which consists of energy, environment and economic was used to analyze mechanism of renewable energy development. Two special effect elements of renewable energy: social factors and technical factors were applied to the 3E system. It was first time to create the ST-3E renewable energy system for study. The improved renewable energy system model including the system structure, its characteristics and inherent mechanism was used to study the operation and evolution of renewable energy development. This study will provide more perfect methodology to study the sustainable development of renewable energy and basis to make energy strategies and policies for governments and international agencies.

scholarly journals Novel Energy System Design Workflow for Zero-Carbon Energy District Development

2021 ◽  
Vol 3 ◽  
Author(s):  
Bahador Samadzadegan ◽  
Soroush Samareh Abolhassani ◽  
Sanam Dabirian ◽  
Saeed Ranjbar ◽  
Hadise Rasoulian ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Systems ◽  
Energy System ◽  
Building Energy ◽  
System Model ◽  
Energy System Model ◽  
Heating And Cooling ◽  
Urban Energy ◽  
Zero Carbon

The growing urban population globally leads to higher greenhouse gas (GHG) emissions and stress on the electricity networks for meeting the increasing demand. In the early urban design stages, the optimization of the urban morphology and building physics characteristics can reduce energy demand. Local generation using renewable energy resources is also a viable option to reduce emissions and improve grid reliability. Notwithstanding, energy simulation and environmental impact assessment of urban building design strategies are usually not done until the execution planning stage. To address this research gap, a novel framework for designing energy systems for zero-carbon districts is developed. An urban building energy model is integrated with an urban energy system model in this framework. Dynamic prediction of heating and cooling demand and automatic sizing of different energy system configurations based on the calculated demands are the framework's primary capabilities. The workability of the framework has been tested on a case study for an urban area in Montreal to design and compare two different renewable energy systems comprising photovoltaic panels (PV), air-source, and ground source heat pumps. The case study results show that the urban building energy model could successfully predict the heating and cooling demands in multiple spatiotemporal resolutions, while the urban energy system model provides system solutions for achieving a zero-carbon or positive energy district.

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