Effect of Heat and Electricity Storage and Reliability on Microgrid Viability:A Study of Commercial Buildings in California and New York States

Städler, Michael; Marnay, Chris; Siddiqui, Afzal S.; Lai, Jihn‐Sung; Coffey, Brian; Aki, Hirohisa

doi:10.2172/945361

Cited by 23 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, following the dual shortcoming of the control perspective, it is difficult to prove that optimal energy system's design will remain optimal, as mentioned, when performing in real operating conditions different from the nominal ones for which design was optimized. [21,22], for example, consider typical energy demands and prices to calculate optimal design and operation of energy systems, but there is a lack of discussion about how this optimal system will perform when those demand and prices were to change. The discussion is even more necessary because, when considered, energy storage and renewable energy will follow different patterns form day to day (far from typical day patterns) as a result of change in weather conditions, price of energy or users' behavior.…”

Section: Introductionmentioning

confidence: 99%

A comparison of the economic benefits of centralized and distributed model predictive control strategies for optimal and sub-optimal mine dewatering system designs

Romero

Millar

Carvalho

et al. 2015

Applied Thermal Engineering

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A comparison of the economic benefits of centralized and distributed model predictive control strategies for optimal and sub-optimal mine dewatering system designs

Romero

Millar

Carvalho

et al. 2015

Applied Thermal Engineering

View full text Add to dashboard Cite

“…These generally operate as a heat-driven cogeneration process and do not have any backup system for the thermal power generation. The Energy Storage Systems (ESS), both electric and thermal, may contribute to increase the integration of the power generated by RES [8] and also to reduce the generation costs and improve the quality of the power supply [9]. Nevertheless the ESS, mostly the electric ones, are still expensive [10], [11], therefore from the system point of view, it is essential to plan the optimal energy storage capacity [9], [12].…”

Section: Introductionmentioning

confidence: 99%

Use of energy storage in Isolated Micro Grids

Lombardi

Styczynski

Sokolnikova

et al. 2014

2014 Power Systems Computation Conference

View full text Add to dashboard Cite

Many regions in Russia are not connected with the centralized electric system because of their remote geographic location. Therefore, Isolated Micro Grids (IMG) solutions were adopted in the past to generate and supply electric power to these areas. These IMG generally have used conventional power generators to supply both the electric as well as the thermal power. Recently, generators based on Renewable Energy Sources (RES) plants have been introduced in the Russian system, including the Russian IMG. However, the contribution that such power plants can provide is limited, if Energy Storage Systems (ESS) are not installed [1], [2]. This study aims to analyze the optimal energy storage capacity needed in a Russian IMG in which a large part of the energy demanded is generated by power plants based on RES [3]. Technical and economic aspects have been considered to find the optimal solution for a test case. A sensitivity analysis depicts how the optimal energy storage capacity depends on the typology of the customers

show abstract

Control of greenhouse gas emissions by optimal DER technology investment and energy management in zero‐net‐energy buildings

Städler

Siddiqui

Marnay

et al. 2011

Int Trans Elec Energy Syst

Self Cite

View full text Add to dashboard Cite

The U.S. Department of Energy has launched the commercial building initiative (CBI) in pursuit of its research goal of achieving zero-net-energy commercial buildings (ZNEB), i.e. ones that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge, energy-efficiency technologies and meet their remaining energy needs through on-site renewable energy generation. This paper examines how such buildings may be implemented within the context of a cost-or CO 2 -minimizing microgrid that is able to adopt and operate various technologies: photovoltaic modules (PV) and other on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive/demand-response technologies. A mixed-integer linear program (MILP) that has a multi-criteria objective function is used. The objective is minimization of a weighted average of the building's annual energy costs and CO 2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the ZNEB objective. Using a commercial test site in northern California with existing tariff rates and technology data, we find that a ZNEB requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power (CHP) equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve a ZNEB. Additionally, the ZNEB approach does not necessary lead to zero-carbon (ZC) buildings as is frequently argued. We also show a multi-objective frontier for the CA example, which allows us to estimate the needed technologies and costs for achieving a ZC building or microgrid.

show abstract

Effect of Heat and Electricity Storage and Reliability on Microgrid Viability:A Study of Commercial Buildings in California and New York States

Cited by 23 publications

References 8 publications

A comparison of the economic benefits of centralized and distributed model predictive control strategies for optimal and sub-optimal mine dewatering system designs

A comparison of the economic benefits of centralized and distributed model predictive control strategies for optimal and sub-optimal mine dewatering system designs

Use of energy storage in Isolated Micro Grids

Control of greenhouse gas emissions by optimal DER technology investment and energy management in zero‐net‐energy buildings

Contact Info

Product

Resources

About