Optimal design and operation of building services using mixed-integer linear programming techniques

Ashouri, Araz; Fux, Samuel; Benz, Michael; Guzzella, Lino

doi:10.1016/j.energy.2013.06.053

Cited by 119 publications

(60 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Examples of optimization using genetic algorithms can be found in e.g., Ooka and Komamura (2009) [5], who used a genetic algorithm to optimize the equipment capacity and operation planning of buildings, and, in Seo et al (2014) [6], who used a multi-island genetic algorithm to optimize the HVAC system of apartments. The MILP approach has been used by, e.g., Ashouri et al [7] to simultaneously optimize HVAC equipment, sizing and operation, and by Patteeuw and Helsen [8], who developed a similar method but also included multiple temperature levels to represent energy storage and conversion efficiencies in a more realistic way, and the explicit modelling of the electricity generation side. Heuristic and MILP optimization methods can also be combined.…”

Section: Existing Methodsmentioning

confidence: 99%

Economic Optimal HVAC Design for Hybrid GEOTABS Buildings and CO2 Emissions Analysis

Picard

Helsen

2018

Energies

View full text Add to dashboard Cite

Abstract:In the early design phase of a building, the task of the Heating, Ventilation and Air Conditioning (HVAC) engineer is to propose an appropriate HVAC system for a given building. This system should provide thermal comfort to the building occupants at all time, meet the building owner's specific requirements, and have minimal investment, running, maintenance and replacement costs (i.e., the total cost) and energy use or environmental impact. Calculating these different aspects is highly time-consuming and the HVAC engineer will therefore only be able to compare a (very) limited number of alternatives leading to suboptimal designs. This study presents therefore a Python tool that automates the generation of all possible scenarios for given thermal power profiles and energy load and a given database of HVAC components. The tool sizes each scenario properly, computes its present total cost (PC) and the total CO 2 emissions associated with the building energy use. Finally, the different scenarios can be searched and classified to pick the most appropriate scenario. The tool uses static calculations based on standards, manufacturer data and basic assumptions similar to those made by engineers in the early design phase. The current version of the tool is further focused on hybrid GEOTABS building, which combines a GEOthermal heat pump with a Thermally Activated System (TABS). It should further be noted that the tool optimizes the HVAC system but not the building envelope, while, ideally, both should be simultaneously optimized.

show abstract

Section: Existing Methodsmentioning

confidence: 99%

Economic Optimal HVAC Design for Hybrid GEOTABS Buildings and CO2 Emissions Analysis

Picard

Helsen

2018

Energies

View full text Add to dashboard Cite

show abstract

“…In addition, completion time of a real job assigned to the position in the sequence on any machine and the sequencedependent set-up time were counted as two main constraints in MIGP model. Ashouri et al (2013) designed a mixed integer-linear programming (MILP) to optimise energy consumption in buildings. Moreover, authors designed and executed different building services such as thermal and electrical storages, heating and cooling systems, and renewable energy sources by using the proposed MILP model.…”

Section: Integrated Approachesmentioning

confidence: 99%

Suppliers Selection In Manufacturing Industries And Associated Multi-Objective Desicion Making Methods: Past, Present And The Future

Hassanzadeh

Cheng

2016

ESJ

View full text Add to dashboard Cite

Nowadays, many manufacturing companies have decided to use other companies' competencies and outsource part of their manufacturing processes and business to suppliers globally in order to reduce costs, improve quality of products, explore or expand new markets, and offer better services to customers, etc. The decisions have rendered manufacturing organizations with new challenges. Organizations need to evaluate their suppliers' performance, and take account of their weakness and strength in order to win and survive in highly competitive global marketplaces. Hence, suppliers evaluation and selection are taken as an important strategy for manufactring enterprises. This paper aims to provide a comprehensive and critical review on suppliers selection and the formulation of different criteria for suppliers selection, the associated multi-objctive decision makings, selecion algorithms, and their implementation and application perspectives. Furthermore, individual and integrated suppliers selection approaches are presented, including Analytic hierarchy process (AHP), Analytic network process (ANP), and Mathematical programming (MP). Linear programming (LP), Integer programming (IP), Data envelopment analysis (DEA) and Goal programming (GP) are discussed with in-depth. The paper concludes with further discussion on the potential and application of suppliers selection approach for the broad manufacturing industry.

show abstract

“…In order to provide them with better decision support and to investigate the implications of alternative policy measures in inducing investment at the building level, we implement a stochastic programming model (e.g., Kall and Wallace, 1994;Birge and Louveaux, 1997;Conejo et al, 2010) for the long-term investment and retrofitting problems facing real buildings. Vis-à-vis most optimisation-based analyses of investment in distributed energy resources (DER), e.g., King and Morgan (2007), Marnay et al (2008), Omu et al (2013), Stadler et al (2011), and Ashouri et al (2013), stochastic programming enables the assessment of decisions made under uncertainty. Other work, such as Maribu and Fleten (2008) and Siddiqui and Maribu (2009), takes a real options approach to examine the role of investment timing and technology choice under uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient building retrofits: An assessment of regulatory proposals under uncertainty

Rocha

Kaut

Siddiqui

2016

Energy

View full text Add to dashboard Cite

Improving energy efficiency in European Union buildings will require retrofitting much of the existing stock due to limited new construction opportunities. Given uncertainty in energy prices and technology costs stemming from deregulation, a stochastic optimisation framework is desirable for long-term decision support. We synthesise treatment of uncertainty and risk management to obtain insights about the impact of retrofits on energy consumption, costs, CO 2 emissions, and risk at real buildings in Austria and Spain. The optimal strategy for the Spanish site is to invest in photovoltaic and solar thermal technologies. This lowers expected costs by 8.5% and reduces expected primary energy consumption and CO 2 emissions by 20% relative to using existing equipment. By limiting exposure to volatile energy prices, the strategy also yields a nearly 10% reduction in risk. We obtain similar results also for the Austrian site. Via this framework, tradeoffs among competing objectives and the effectiveness of proposed regulation may be assessed. Specifically, we find that more stringent restrictions on energy efficiency are economically viable if regulation also facilitates enhanced operational decision support for buildings. Indeed, primary energy consumption can be lowered only through more on-site generation such as combined heat and power, which is more complex for building managers to deploy.

show abstract

Optimal design and operation of building services using mixed-integer linear programming techniques

Cited by 119 publications

References 26 publications

Economic Optimal HVAC Design for Hybrid GEOTABS Buildings and CO2 Emissions Analysis

Economic Optimal HVAC Design for Hybrid GEOTABS Buildings and CO2 Emissions Analysis

Suppliers Selection In Manufacturing Industries And Associated Multi-Objective Desicion Making Methods: Past, Present And The Future

Energy-efficient building retrofits: An assessment of regulatory proposals under uncertainty

Contact Info

Product

Resources

About