UK Energy Modelling

1980 ◽  
Vol 13 (1) ◽  
pp. 12-15
Author(s):  
E. J. Lomas
Keyword(s):  
Energy Supply ◽  
Policy Making ◽  
Supply And Demand ◽  
Simulation Models ◽  
Department Of Energy ◽  
Energy Modelling ◽  
Detailed Simulation ◽  
Integrated Operation ◽  
Energy Forecast

The Department of Energy uses a system for forecasting energy supply and demand as an aid to policy making. The system consists of several sub-models ranging in complexity from simple trend equation models to detailed simulation models of the electricity, coal and gas industries. Their integrated operation provides an overall energy forecast based upon the optimum use of national resources, while their individual operation can look at particular areas of detail.

Tourism to the year 2000 - Qualitative Aspects Affecting Global Growth

1990 ◽  
Keyword(s):  
Policy Making ◽  
Supply And Demand ◽  
Study Programme ◽  
The World ◽  
Work Programme ◽  
World Tourism Organization ◽  
Tourism Organization ◽  
Year 2000 ◽  
Global Growth ◽  
General Work

The World Tourism organization (UNWTO) has initiated study programme on tourism to the year 2000 as part of its general work programme requested by members. The general objective of the study programme is specified as being: To identify the major trends in tourism supply and demand worldwide and by region and their impact on the various sectors of tourism trades; together with implications for policy making and relevant strategies.

Hider: A Methodology for Early-Stage Exploration of Design Space

1996 ◽  
Author(s):  
Sudhakar Y. Reddy
Keyword(s):  
Design Space ◽  
Optimization Problems ◽  
Early Stage ◽  
Simulation Models ◽  
Design Tool ◽  
System Level ◽  
Complex Simulation ◽  
Machine Learning Approach ◽  
Detailed Simulation ◽  
And Performance

Abstract This paper describes HIDER, a methodology that enables detailed simulation models to be used during the early stages of system design. HIDER uses a machine learning approach to form abstract models from the detailed models. The abstract models are used for multiple-objective optimization to obtain sets of non-dominated designs. The tradeoffs between design and performance attributes in the non-dominated sets are used to interactively refine the design space. A prototype design tool has been developed to assist the designer in easily forming abstract models, flexibly defining optimization problems, and interactively exploring and refining the design space. To demonstrate the practical applicability of this approach, the paper presents results from the application of HIDER to the system-level design of a wheel loader. In this demonstration, complex simulation models for cycle time evaluation and stability analysis are used together for early-stage exploration of design space.

scholarly journals A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

2015 ◽  
Vol 155 ◽  
pp. 485-501 ◽  
Author(s):  
Javier Silvente ◽  
Georgios M. Kopanos ◽  
Efstratios N. Pistikopoulos ◽  
Antonio Espuña
Keyword(s):  
Energy Supply ◽  
Supply And Demand ◽  
Rolling Horizon ◽  
Optimization Framework ◽  
Demand Planning ◽  
Rolling Horizon Optimization

scholarly journals Site-specific Nutrient Management for Enhancing Crop Productivity

2020 ◽  
pp. 17-25
Author(s):  
Ramesh Chand Bana ◽  
S. S. Yadav ◽  
A. C. Shivran ◽  
Prabhoo Singh ◽  
Vinod Kumar Kudi
Keyword(s):  
Nutrient Management ◽  
Supply And Demand ◽  
Nutrient Use Efficiency ◽  
Simulation Models ◽  
Nutrient Status ◽  
Crop Productivity ◽  
High Price ◽  
Nitrification Inhibitors ◽  
Management Tools ◽  
Site Specific

Nutrient management plays a crucial role in achieving self-sufficiency in food grain production. High price index of chemical fertilizers coupled with mount pollution problem gave rise to interest in precision nutrient management tools. Site specific nutrient management (SSNM) increases and maintains the yield by optimizing the balance between supply and demand of nutrients. Nutrient application as per SSNM concept resulted in significantly higher grain yields of maize, rice, wheat and other important crop over recommended dose of fertilizers (RDF) and farmer’s fertilizers practices. The SSNM is real time feeding of crops with nutrients while recognizing the inherent spatial variability which enhances crop productivity, nutrient use efficiency (NUE) and avoids nutrient wastage. For effective SSNM, utilization of different sensing devices of soil and plant nutrient status, decision support systems, GIS, remote sensing, simulation models and nenoparticles play an important role. Traditional techniques like balanced fertilization, use of nitrification inhibitors and slow-release nitrogenous fertilizers (SRNF) are also used to attain higher productivity and reduce environmental pollution. This paper deals with the SSNM approaches which are able to enhance crop productivity, NUE and sustainability.

Matching Model of Energy Supply and Demand of the Integrated Energy System in Coastal Areas

2020 ◽  
Vol 103 (sp1) ◽  
pp. 983
Author(s):  
Xuejiao Zhao ◽  
Bing Gu ◽  
Fengkai Gao ◽  
Songsong Chen
Keyword(s):  
Energy Supply ◽  
Supply And Demand ◽  
Energy System ◽  
Coastal Areas ◽  
Matching Model ◽  
Integrated Energy System

scholarly journals Distributed processing in virtual simulation using Cloud Computing Environment

2018 ◽  
Vol 210 ◽  
pp. 04018
Author(s):  
Jarosław Koszela ◽  
Maciej Szymczyk
Keyword(s):  
Cloud Computing ◽  
Distributed Processing ◽  
Simulation Models ◽  
Virtual Simulation ◽  
Performance Tests ◽  
Computing Environment ◽  
Computing Power ◽  
Cloud Computing Environment ◽  
Detailed Simulation ◽  
And Performance

Today’s hardware has computing power allowing to conduct virtual simulation. However, even the most powerful machine may not be sufficient in case of using models characterized by high precision and resolution. Switching into constructive simulation causes the loss of details in the simulation. Nonetheless, it is possible to use the distributed virtual simulation in the cloud-computing environment. The aim of this paper is to propose a model that enables the scaling of the virtual simulation. The aspects on which the ability to disperse calculations depends were presented. A commercial SpatialOS solution was presented and performance tests were carried out. The use of distributed virtual simulation allows the use of more extensive and detailed simulation models using thin clients. In addition, the presented model of the simulation cloud can be the basis of the “Simulation-as-a-Service” cloud computing product.

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