Dynamic and Predictive Optimization Concept for Energy Supply Systems in the Energy-Intensive Industry

Author(s):  
Martin Koller ◽  
René Hofmann

Increasing flexibility for energy-intensive industry is gaining more and more importance due to the changing energy market towards volatile energy sources. Flexibility can be achieved by adapting the energy supply processes and integrating new components, e.g. energy storages. Another way to increase flexibility is to optimize the plant operation to exploit the full potential of the industrial plant. This paper presents a concept for optimal plant control for more flexible operation, using a two-stage optimization approach, combining a quadratic and a nonlinear optimization problem formulation. The optimization concept is demonstrated by means of a simple model plant. The input parameters are energy prices and production schedules respectively heat demands to be satisfied by the plant’s energy supply system. The output is the optimal control trajectory for the considered plant components. Four different scenarios, with varying plant configurations, are simulated and the results are discussed in terms of the optimization approach and the impact of different plant configurations.

2016 ◽  
Vol 10 (8) ◽  
pp. 230
Author(s):  
Pouya Ghadimi ◽  
Seyed Smaeil Mousavi ◽  
Wen Li ◽  
Sami Kara ◽  
Bernard Kornfeld

Integrated management of manufacturing plant’s production and on-site energy supply systems has shown potential economic, environmental and resource efficiency advantages for the industry. However, existing approaches are solely based on pure mathematical models with a high degree of abstraction with limited applicability, which becomes impractical for industrial applications. In this paper a simulation methodology for production parameters selection and on-site energy supply management is presented. In this case, state-based models and operational strategies of manufacturing processes and on-site energy supply options are integrated to represent interdependency between production processes, technical building services and on-site energy supply system. As a result, the proposed methodology covers manufacturing system complexity without compromising the required accuracy. This is applied to a batch based manufacturing plant and the impact of particular production parameters on energy demand profile is evaluated. The results indicate the impact of production parameters on energy supply system. In addition, the proposed approach enables manufacturers to evaluate the implications of potential production approaches in order to select appropriate operational strategies for on-site energy supply systems.


2019 ◽  
Author(s):  
S. Bruche ◽  
G. Tsatsaronis

Abstract Mixed integer linear programming is frequently applied to identify promising design solutions of energy supply systems. However, application-relevant optimization models are often associated with complicating model features, e.g. numerous discrete design candidates or a large time horizon of the optimization. So, even state-of-the-art solvers may be confronted with major challenges to find satisfying solutions within reasonable time. In this paper a systematic multi-stage optimization approach is proposed that is intended to support the available algorithms in solving these complex problems. The basic idea of the approach is the distribution of the original problem into two major levels. On the first level, promising design candidates are generated using simplified optimization models. These simplifications are achieved through time series aggregation and the relaxation of operational binary variables. In the second stage, the objective values of the design candidates for the original problem are determined. The division of the problem into two stages leads to a significant reduction in required optimization time but simultaneously leads to an uncertainty regarding the quality of the found solution. Therefore, in a subsequent step, it is checked whether the objective value is within an acceptable distance from the theoretically best solution. If this is not the case, the first two steps are iteratively repeated. The proposed multi-stage approach is applied to the optimization of an energy supply system located in Germany. The results show a superior performance regarding required optimization time over conventional methods.


Author(s):  
Dilara Caglayan ◽  
Heidi U. Heinrichs ◽  
Martin Robinius ◽  
Detlef Stolten

In light of the latest trends in global installed capacities, the importance of variable renewable energy sources (VRES) to future energy supply systems is evident. Despite this, the inherent intermittency of VRES remains an obstacle to their widespread adoption. Green hydrogen is often suggested as an energy carrier that can account for this in a sustainable manner. In the analysis, a robust European energy system in the context of 2050 and with 100% VRES energy supply is designed through an iterative minimal cost-optimization approach that ensures robust security of supply over 38 weather-year scenarios (1980-2017). The impact of spatial VRES variability is factored in by defining exclusive VRES groups within each optimization region and, from this, it can be seen that higher numbers of groups in each region offer cheap electricity generation locations to the optimizer and thus decrease the total annual cost of the system. Beyond this, the robust system design and impact of inter-annual variability is identified by iteratively combining the installed capacities of different system designs obtained by applying 38 historical weather years. The robust system design outlined here has significantly lower capacities in comparison to the maximum regional capacities obtained in the first round of optimization.


2019 ◽  
Vol 2 (3) ◽  
pp. 164-169
Author(s):  
Mohammed Faza ◽  
Maulahikmah Galinium ◽  
Matthias Guenther

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.


Buildings ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 100 ◽  
Author(s):  
Elaheh Jalilzadehazhari ◽  
Georgios Pardalis ◽  
Amir Vadiee

The majority of the single-family houses in Sweden are affected by deteriorations in building envelopes as well as heating, ventilation and air conditioning systems. These dwellings are, therefore, in need of extensive renovation, which provides an excellent opportunity to install renewable energy supply systems to reduce the total energy consumption. The high investment costs of the renewable energy supply systems were previously distinguished as the main barrier in the installation of these systems in Sweden. House-owners should, therefore, compare the profitability of the energy supply systems and select the one, which will allow them to reduce their operational costs. This study analyses the profitability of a ground source heat pump, photovoltaic solar panels and an integrated ground source heat pump with a photovoltaic system, as three energy supply systems for a single-family house in Sweden. The profitability of the supply systems was analysed by calculating the payback period (PBP) and internal rate of return (IRR) for these systems. Three different energy prices, three different interest rates, and two different lifespans were considered when calculating the IRR and PBP. In addition, the profitability of the supply systems was analysed for four Swedish climate zones. The analyses of results show that the ground source heat pump system was the most profitable energy supply system since it provided a short PBP and high IRR in all climate zones when compared with the other energy supply systems. Additionally, results show that increasing the energy price improved the profitability of the supply systems in all climate zones.


Author(s):  
Shu Yoshida ◽  
Satoshi Gamou ◽  
Koichi Ito ◽  
Toshinori Enokido ◽  
Ryohei Yokoyama

An optimal planning method of renewal planning for energy supply systems is proposed to determine the proper renewal year and selection as to what kind of equipment is suitable for several types of buildings from economic viewpoint. In this method, they are determined together with maximum contract demands of utilities such as electricity and natural gas so as to minimize the annual total cost in consideration of system’s annual operational strategies corresponding to seasonal and hourly energy demand requirements during every evaluation year considered. A numerical study is carried out for an office building with a total floor area of 15 000m2, where the system is consisted of an electric refrigerator and a steam boiler. Through the numerical calculation, the influence of the following items are clarified on the optimal renewing year and selection of renewing equipment of the system by the parametric study; (a) upgrading technology of the equipment in the future; (b) initial capital cost of equipment; (c) renewing construction cost and trade-in value rate; and (d) interest rate.


Author(s):  
Sergey V. Zharkov

This paper presents methods for assessing economic, resource and environmental efficiency of cogeneration plants (CPs) and energy supply systems as a whole and ways of its improvement, the main of which are the development of cogeneration and renewable energy sources (RES). The problem of allocating fuel and financial costs in the case of the combined production in accordance with the criterion of equal profitability of supplied products is solved. The methods allow determining specific indicators of supplied products which makes it possible to compare the efficiency of energy supply systems of different companies and countries, and to define their future target indicators. The technology of introducing RES-based power plants to the energy supply systems by means of using unstabilized RES-based power for direct fuel substitution at thermal power plants (the wind is viewed as the most promising type of RES). This paper can be interesting to power engineering specialists, businessmen and economists, and also participants of the upcoming United Nations Climate Change Conference aimed at achieving a universal agreement on climate, which will be held in 2015 in Paris.


Author(s):  
Sergey Zharkov

The paper presents methods for assessing economic, resource and environmental efficiency of energy supply systems and ways of its improvement, the main of which are the development of cogeneration and renewable energy sources (RES). The problem of allocating fuel and financial costs in the case of the combined production is solved. The methods allow determining specific indicators of supplied products which makes it possible to compare the efficiency of energy supply systems of different companies and countries, and to define their future target indicators. The technology of introducing RES-based power plants to the energy supply systems by means of using unstabilized RES-based power for direct fuel substitution at thermal power plants. The paper can be interesting to power engineering specialists, businessmen and economists, and also participants of the upcoming UN Climate Change Conference aimed at achieving a universal agreement on climate, which will be held in 2015 in Paris.


Sign in / Sign up

Export Citation Format

Share Document