Water for energy: Characterizing co‐evolving energy and water systems under twin climate and energy system nonstationarities

2022 ◽  
Author(s):  
Emily Grubert ◽  
Adrienne Marshall
Keyword(s):  
Energy System ◽  
Water Systems

Valuing feedback mechanisms between water and energy systems in hydropower networks

2021 ◽  
Author(s):  
Rachel Koh ◽  
Jordan Kern ◽  
AFM Kamal Chowdhury ◽  
Stefano Galelli
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Renewable Energy Sources ◽  
Management Strategies ◽  
Energy System ◽  
Water Systems ◽  
Feedback Mechanism ◽  
Production Costs ◽  
Feedback Mechanisms ◽  
Modelling Framework

<p>Multi-sector modelling frameworks are fundamental platforms for exploring the complex interactions between the water and energy sectors. While acknowledging the pivotal role of hydropower within the energy system, it is essential to understand the feedback mechanisms between power and water systems to guide the design of hydropower operations and enhance water-energy management strategies. With this in mind, we developed a modelling framework hinged on a bidirectional coupling between water and power system models. We simulate the constraints imposed by water availability on grid operations as well as the feedback between the state of the energy and water systems. For example, the framework explicitly accounts for conditions of hydropower oversupply, during which part of the water could be stored in reservoirs or allocated to other sectors. The flexibility added to the system gives operators control over desired reservoirs, and allows the system to exploit the benefits warranted by a more efficient use of renewable energy. We evaluate the framework on a real-world case study based on the Cambodian grid, which relies on hydro, solar, and thermoelectric resources. In our analysis, we demonstrate that managing hydropower reservoirs with the feedback mechanism in mind allows us to improve system’s performance—evaluated in terms of power production costs and CO<sub>2</sub> emissions. Overall, our work contributes a novel modelling tool for climate-water-energy nexus studies, working towards an optimal integration of hydropower and other renewable energy sources into power systems.</p>

Effects of urbanization on food-energy-water systems in mega-urban regions: a case study of the Bohai MUR, China

2020 ◽  
Author(s):  
Caiyun Deng ◽  
Hongrui Wang ◽  
Shuxin Gong ◽  
Jie Zhang ◽  
Bo Yang ◽  
...  
Keyword(s):  
Urban Areas ◽  
Water System ◽  
Energy System ◽  
Water Systems ◽  
Stress Index ◽  
Food Energy ◽  
Urban Regions ◽  
System Pressure ◽  
Impact Of Urbanization ◽  
The Impact

<p>The security of food-energy-water systems (FEW systems) is an issue of worldwide concern, especially in mega-urban regions (MURs) with high-density populations, industries and carbon emissions. To better understand the hidden linkages between urbanization and FEW systems, the pressure on FEW systems is quantified in a typical rapid urbanizing region—the Bohai MUR. The correlation between urbanization indicators and the pressure on FEW systems is analyzed and the mechanism of the impact of urbanization on FEW systems is further investigated. Results show that approximately 23% of croplands is lost, 61% of which is converted to construction lands and the urban areas expand by 132.2% in the Bohai MUR during 1980-2015. The pressure on FEW systems has an upward trend with the stress index of the pressure on FEW systems (FEW_SI) exhibiting ranging from 80.49 to 134.82% and dominant pressure consisting of that has converted from water system pressure to energy system pressure since 2004. The FEW_SI in the Bohai MUR is enhanced with cropland loss and the increase in urbanization indicators. Additionally, land use, populations, incomes, policies and innovation are the main ways urbanization impacted FEW systems in MURs. This study enhances our understanding of the pressure variation on FEW systems in MURs and the effects of urbanization on FEW systems, which helps stakeholders to enhance the resilience of FEW systems and promote sustainable regional development.</p><p><strong>Keywords:</strong> urbanization, food-energy-water system pressure, linkages, MURs</p>

scholarly journals Modeling of Long-term Operating Regimes of Hydro Power Plants as Part of Energy and Water Systems in the Context of Uncertainty

2020 ◽  
Vol 209 ◽  
pp. 05014
Author(s):  
Viacheslav Nikitin ◽  
Nikolay Abasov ◽  
Evgeny Osipchuk
Keyword(s):  
Water Management ◽  
Power Plants ◽  
Thermal Power ◽  
Energy System ◽  
Water Systems ◽  
Management Systems ◽  
Winter Period ◽  
Hydro Power ◽  
Hydro Power Plants ◽  
Operating Regimes

Energy and water management systems are closely interrelated through the operating regimes of Hydro Power Plants (HPP) or HPP cascades. This is first of all, characteristic of energy systems with a large share of HPP. One of such systems is the energy system of Siberia, which includes the Angara-Yenisei cascade of HPP, the largest in Russia and one of the largest in the world. The studies were carried out on the example of this energy system and the water management system of the Angara and Yenisei basins. A specific feature of the energy and water management systems of Siberia is a significant impact of stochastic factors on their operation. These factors include natural (water inflow in the reservoirs in the spring-summer period and outdoor temperature in the autumn-winter period), and also economic (demand for electric and thermal energy, electricity and heat prices) factors. The paper presents mathematical models for the joint study of energy and water systems. These models factor in the specifics of the systems during planning for a period of up to 1 year. Modeling of the interconnected operation of energy and water systems makes it possible to solve important problems. These are the improvement in the reliability and stability of the considered systems, increase in their economic efficiency (minimization of electricity prices for consumers), assessment and minimization of various risks, prevention from or reduction in possible damages, rational planning of repairs, the formation of fuel reserves at thermal power plants, and others.

Optimal approaches to manage power system decarbonation

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1447-1452
Author(s):  
Vincent Mazauric ◽  
Ariane Millot ◽  
Claude Le Pape-Gardeux ◽  
Nadia Maïzi
Keyword(s):  
Free Energy ◽  
Linear Programming ◽  
Phase Transitions ◽  
Power System ◽  
Energy System ◽  
Energy Sources ◽  
Low Carbon ◽  
Faraday’S Law ◽  
Optimal Description ◽  
Low Carbon Technologies

To overcome the negative environemental impact of the actual power system, an optimal description of quasi-static electromagnetics relying on a reversible interpretation of the Faraday’s law is given. Due to the overabundance of carbon-free energy sources, this description makes it possible to consider an evolution towards an energy system favoring low-carbon technologies. The management for changing is then explored through a simplified linear-programming problem and an analogy with phase transitions in physics is drawn.

Evaluation of net shortwave radiation over China with a regional climate model

2020 ◽  
Vol 80 (2) ◽  
pp. 147-163
Author(s):  
X Liu ◽  
Y Kang ◽  
Q Liu ◽  
Z Guo ◽  
Y Chen ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Radiant Energy ◽  
Energy System ◽  
Radiation Budget ◽  
Shortwave Radiation ◽  
Monsoon Region ◽  
Clear Sky ◽  
Sky Conditions

The regional climate model RegCM version 4.6, developed by the European Centre for Medium-Range Weather Forecasts Reanalysis, was used to simulate the radiation budget over China. Clouds and the Earth’s Radiant Energy System (CERES) satellite data were utilized to evaluate the simulation results based on 4 radiative components: net shortwave (NSW) radiation at the surface of the earth and top of the atmosphere (TOA) under all-sky and clear-sky conditions. The performance of the model for low-value areas of NSW was superior to that for high-value areas. NSW at the surface and TOA under all-sky conditions was significantly underestimated; the spatial distribution of the bias was negative in the north and positive in the south, bounded by 25°N for the annual and seasonal averaged difference maps. Compared with the all-sky condition, the simulation effect under clear-sky conditions was significantly better, which indicates that the cloud fraction is the key factor affecting the accuracy of the simulation. In particular, the bias of the TOA NSW under the clear-sky condition was <±10 W m-2 in the eastern areas. The performance of the model was better over the eastern monsoon region in winter and autumn for surface NSW under clear-sky conditions, which may be related to different levels of air pollution during each season. Among the 3 areas, the regional average biases overall were largest (negative) over the Qinghai-Tibet alpine region and smallest over the eastern monsoon region.

Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis
Keyword(s):  
Kalman Filtering ◽  
Statistical Approach ◽  
Water Systems ◽  
Data Sets ◽  
Pressure Data ◽  
Burst Event ◽  
Sample Data ◽  
Other Information ◽  
Supply Systems ◽  
Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

Sign in / Sign up

Export Citation Format

Share Document