scholarly journals REopt: A Platform for Energy System Integration and Optimization

2014 ◽  
Author(s):  
T. Simpkins ◽  
D. Cutler ◽  
K. Anderson ◽  
D. Olis ◽  
E. Elgqvist ◽  
...  
Keyword(s):  
System Integration ◽  
Net Present Value ◽  
Planning Process ◽  
Cost Savings ◽  
Integrated Approach ◽  
Energy System ◽  
Energy Performance ◽  
Mixed Integer ◽  
Energy Planning ◽  
Mixed Integer Linear Program

REopt is an energy planning platform offering concurrent, multiple technology integration and optimization capabilities to help clients meet their cost savings and energy performance goals. The REopt platform provides techno-economic decision support analysis throughout the energy planning process, from agency-level screening and macro planning to project development to energy asset operation. REopt employs an integrated approach to optimizing the energy costs of a site by considering electricity and thermal consumption, resource availability, complex tariff structures including time-of-use, demand and export rates, incentives, net metering, and interconnection limits. Formulated as a mixed integer linear program, REopt recommends an optimally sized mix of conventional and renewable energy, and energy storage technologies; estimates the net present value associated with implementing those technologies; and provides the cost-optimal dispatch strategy for operating them at maximum economic efficiency. The REopt platform can be customized to address a variety of energy optimization scenarios including policy, microgrid, and operational energy applications. This paper presents the REopt techno-economic model along with two examples of recently completed analysis projects.

scholarly journals Urban energy performance calculation based on EPBD standards. GIS4ENER tool

2020 ◽  
Author(s):  
Gema Hernandez-Moral ◽  
◽  
Víctor Iván Serna-Gonzalez ◽  
Francisco Javier Miguel Herrero ◽  
César Valmaseda-Tranque
Keyword(s):  
Energy Demand ◽  
Planning Process ◽  
Energy Performance ◽  
Local Scale ◽  
Decision Makers ◽  
Energy Planning ◽  
Strong Impact ◽  
Building Stock ◽  
Urban Energy ◽  
Performance Calculation

Climate change will have a strong impact on urban settings, which will also represent one of the major challenges (world’s urban population is expected to double by 2050, EU buildings consume 40% final energy and generate 36% CO2 emissions). A plethora of initiatives address this challenge by stressing the underlying necessity of thinking globally but acting locally. This entails the inclusion of a varied set of decision-makers acting at different scales and needing robust, comprehensive and comparable information that can support them in their energy planning process. To this end, this paper presents the GIS4ENER tool to support energy planners at different scales by proposing a bottom-up approach towards the calculation of energy demand and consumption at local scale that can be aggregated to support other decision-making scales. It is based on three main pillars: the exploitation of publicly available data (such as Open Street Maps, Building Stock Observatory or TABULA), the implementation of standardised methods to calculate energy (in particular the ISO52000 family) and the use of Geographic Information Systems to represent and facilitate the understanding of results, and their aggregation. The paper presents the context, main differences with other approaches and results of the tool in Osimo (IT).

Operational Planning Using Mixed Integer Programming

1988 ◽  
Vol 64 (6) ◽  
pp. 485-488 ◽  
Author(s):  
H. Douglas Walker ◽  
Stephen W. Preiss
Keyword(s):  
Planning Process ◽  
Cost Savings ◽  
Mathematical Structure ◽  
Timber Harvesting ◽  
Operational Planning ◽  
Mixed Integer ◽  
Forest Planning ◽  
Planning Problem ◽  
Process Data ◽  
Planning Problems

A mathematical model was constructed and used to help plan five-year timber harvesting and delivery activities from an industrially managed public forest in Ontario. Harvest systems, harvest levels, and wood flows from compartments within the forest to various mills and delivery points were scheduled to minimize costs. The mathematical structure of the model may suggest applications to related forest planning problems. The model was useful in addressing the planning problem, and model results were used within the company's planning process. Data accuracy problems precluded assessing definitively the expected cost savings resulting from model use.

Multiperiod Highway Improvement and Construction Scheduling: Model Development and Application

1998 ◽  
Vol 1617 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Wael Eldessouki ◽  
Nagui Rouphail ◽  
Madalena Beja ◽  
S. Ranji Ranjithan
Keyword(s):  
Planning Process ◽  
Model Development ◽  
Mathematical Optimization ◽  
Planning Horizon ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Mixed Integer Linear Program ◽  
Traffic Demand ◽  
Primary Model

A methodology is presented that emulates the transportation improvement planning process using mathematical optimization techniques. The scheduling problem is formulated as a mixed integer linear program (MILP) and can be considered as a multiperiod network design problem. The three primary model components are discussed: ( a) the input module in which the network, traffic demand, and pool of potential projects are identified over the planning horizon; ( b) the benefits estimation module using network travel time as the benefit criterion; and ( c) the schedule builder, an MILP that attempts to maximize the total benefits subject to annual resources and project precedence constraints. The proposed method is applied in a case-study context to the Lisbon metropolitan region’s network, a portion of Portugal’s highway network, and the results are discussed.

Automated Layout Generation and Wiring Area Estimation for 3D Electronic Modules

1999 ◽  
Vol 123 (3) ◽  
pp. 330-336 ◽  
Author(s):  
Mike Scha¨fer ◽  
Thomas Lengauer
Keyword(s):  
Integrated Approach ◽  
Problem Formulation ◽  
Mixed Integer ◽  
Electronic Components ◽  
Spatial Constraints ◽  
Mixed Integer Linear Program ◽  
Area Estimation ◽  
Component Layout ◽  
Estimation Problems ◽  
Layout Generation

This paper presents an integrated approach to the layout generation of 3D rectagonal objects and wiring area estimation. Problems of this type are encountered in various component layout tasks such as the space-efficient placement of electronic components in automobiles. The goal is to achieve high packing densities and fitting of objects in predefined design spaces while satisfying spatial constraints. The layout problem is formulated as mixed integer linear program and can be solved either by a branch&bound procedure or heuristically. The wiring area estimation is integrated in the problem formulation on the basis of a number of explicit wiring variants for each cable.

scholarly journals Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design

2021 ◽  
Author(s):  
Alexander J. Zolan ◽  
Michael S. Scioletti ◽  
David P. Morton ◽  
Alexandra M. Newman
Keyword(s):  
Minimum Cost ◽  
Energy System ◽  
Mixed Integer ◽  
Nonlinear Program ◽  
Diesel Generator ◽  
Mixed Integer Linear Program ◽  
Loosely Coupled ◽  
Distributed Energy System ◽  
One Year ◽  
Microgrid Design

Microgrids are frequently employed in remote regions, in part because access to a larger electric grid is impossible, difficult, or compromises reliability and independence. Although small microgrids often employ spot generation, in which a diesel generator is attached directly to a load, microgrids that combine these individual loads and augment generators with photovoltaic cells and batteries as a distributed energy system are emerging as a safer, less costly alternative. We present a model that seeks the minimum-cost microgrid design and ideal dispatched power to support a small remote site for one year with hourly fidelity under a detailed battery model; this mixed-integer nonlinear program (MINLP) is intractable with commercial solvers but loosely coupled with respect to time. A mixed-integer linear program (MIP) approximates the model, and a partitioning scheme linearizes the bilinear terms. We introduce a novel policy for loosely coupled MIPs in which the system reverts to equivalent conditions at regular time intervals; this separates the problem into subproblems that we solve in parallel. We obtain solutions within 5% of optimality in at most six minutes across 14 MIP instances from the literature and solutions within 5% of optimality to the MINLP instances within 20 minutes.

scholarly journals Profitability of Energy Supply Contracting and Energy Sharing Concepts in a Neighborhood Energy Community: Business Cases for Austria

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 921
Author(s):  
Carolin Monsberger ◽  
Bernadette Fina ◽  
Hans Auer
Keyword(s):  
Energy Supply ◽  
Business Models ◽  
Linear Optimization ◽  
Cost Savings ◽  
Energy Performance ◽  
Mixed Integer ◽  
Performance Contracting ◽  
Efficiency Measures ◽  
Business Cases ◽  
Energy Community

To ensure broad application of renewable and energy-efficient energy systems in buildings and neighborhoods, profitable business models are vital. Energy supply contracting helps building residents to overcome the barrier of high upfront investment costs while additionally reducing risks related to energy-saving mechanisms. This study examines profitability for energy contractors in a variety of business cases that simultaneously ensure energy cost savings for the residents. A mixed-integer linear optimization model is developed for a neighborhood energy community, consisting of three buildings with diverse usages. In the process, the optimum capacities of building-attached and building-integrated photovoltaics, a heat pump and a gas-fired mini combined heat and power unit are determined to cover the energy community’s electricity and heat load. Results show that cross-domain contracting within energy communities is highly profitable for both, the contractor and the residents, while the extent depends on the accounting method, assumed interest rate and depreciation time. The additional application of energy-efficiency measures in/on the buildings, constituting a combination of energy supply and energy performance contracting, further increases profitability. The investigation of several sensitivities shows that high grid energy costs for electricity and gas enhance profitability of local energy technologies, leading to an increase in optimal technology capacities.

scholarly journals A More Realistic Heat Pump Control Approach by Application of an Integrated Two-Part Control

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2752
Author(s):  
Maximilian Schulz ◽  
Thomas Kemmler ◽  
Julia Kumm ◽  
Kai Hufendiek ◽  
Bernd Thomas
Keyword(s):  
Heat Pump ◽  
System Integration ◽  
Integrated Approach ◽  
Energy System ◽  
Heat Pumps ◽  
Full Detail ◽  
Pump Operation ◽  
Control Approach ◽  
Ghg Reduction ◽  
Smart Control

Heat pumps are a vital element for reaching the greenhouse gas (GHG) reduction targets in the heating sector, but their system integration requires smart control approaches. In this paper, we first offer a comprehensive literature review and definition of the term control for the described context. Additionally, we present a control approach, which consists of an optimal scheduling module coupled with a detailed energy system simulation module. The aim of this integrated two-part control approach is to improve the performance of an energy system equipped with a heat pump, while recognizing the technical boundaries of the energy system in full detail. By applying this control to a typical family household situation, we illustrate that this integrated approach results in a more realistic heat pump operation and thus a more realistic assessment of the control performance, while still achieving lower operational costs.

scholarly journals Performance Analysis of a Waste-to-Energy System Integrated with the Steam–Water Cycle and Urea Hydrolysis Process of a Coal-Fired Power Unit

2022 ◽  
Vol 12 (2) ◽  
pp. 866
Author(s):  
Yuanyuan Zhang ◽  
Lai Wei ◽  
Xin Gao ◽  
Heng Chen ◽  
Qiubai Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Unit ◽  
System Integration ◽  
Net Present Value ◽  
Integrated Design ◽  
Energy System ◽  
Exergy Efficiency ◽  
Urea Hydrolysis ◽  
Waste To Energy ◽  
Energy Unit

An innovative hybrid energy system consisting of a waste-to-energy unit and a coal-fired power unit is designed to enhance the energy recovery of waste and decrease the investment costs of waste-to-energy unit. In this integrated design, partial cold reheat steam of the coal-fired unit is heated by the waste-to-energy boiler’s superheater. The heat required for partial preheated air of waste-to-energy unit and its feedwater are supplied by the feedwater of CFPU. In addition, an additional evaporator is deployed in the waste-to-energy boiler, of which the outlet stream is utilized to provide the heat source for the urea hydrolysis unit of coal-fired power plant. The stand-alone and proposed designs are analyzed and compared through thermodynamic and economic methods. Results indicate that the net total energy efficiency increases from 41.84% to 42.12%, and the net total exergy efficiency rises from 41.19% to 41.46% after system integration. Moreover, the energy efficiency and exergy efficiency of waste-to-energy system are enhanced by 10.48% and 9.92%, respectively. The dynamic payback period of new waste-to-energy system is cut down from 11.39 years to 5.48 years, and an additional net present value of $14.42 million is got than before.

scholarly journals A Comprehensive PED-Database for Mapping and Comparing Positive Energy Districts Experiences at European Level

2021 ◽  
Vol 14 (1) ◽  
pp. 427
Author(s):  
Giulia Turci ◽  
Beril Alpagut ◽  
Paolo Civiero ◽  
Michal Kuzmic ◽  
Serena Pagliula ◽  
...  
Keyword(s):  
Urban Areas ◽  
Planning Process ◽  
Energy System ◽  
Energy Planning ◽  
Positive Energy ◽  
Web Based ◽  
The Sustainable Development ◽  
User Friendly ◽  
Climate Neutrality ◽  
Research Cost

Positive Energy Districts (PEDs) are considered as one of the pioneer strategies to guide cities in their energy planning process towards climate neutrality in an attractive, innovative and human-centered way. The concept of PED is the result of a long co-creation process and integrates several multidimensional features, aiming to promote the sustainable development of urban areas and the transition of cities towards a climate neutral energy system. The paper provides an overview of the first outcomes of WG1 “PED Mapping, Characterization and Learning”, in the research COST Action CA19126 “Positive Energy Districts European Network” (PED-EU-NET). This study describes activities that focus on creating a comprehensive PED-Database by mapping existing concepts, strategies, projects, technological and non-technological solutions related to PEDs in Europe. The main objective of the Database is to support municipalities through the decision-making process by providing strategies for building and running a successful PED that can provide alternatives to consider, and is powered by an interactive web-based map. The design of the Database framework is supported by a step-by-step methodology adopted in the framework of the CA19126 in order to develop the PED-Database as an interactive, updatable and user-friendly tool.

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