Distributed energy resources customer adoption modeling with combined heat and power applications

Siddiqui, Afzal S.; Firestone, Ryan; Ghosh, Srijay; Städler, Michael; Edwards, Jennifer; Marnay, Chris

doi:10.2172/820656

Cited by 43 publications

(27 citation statements)

References 10 publications

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“…On the other hand [20], implemented a tool for distributing the energy resources adopting the client's model and which name was assigned as (DER-CAM) model in order to study the economy and small scale operation (less than 500 kW). Also [21], implements the DER-CAM model, and discusses the electricity issue as a learned lesson or reasoning based on cases from the lived experience of 2003's summer in North America, which made notorious the incapacity of the existing electronic networks for answering to the continuous growth of energetic demand.…”

Section: A Study Casesmentioning

confidence: 99%

Distributed Energetic Resources: Trend, Control and Operation

Hernández¹,

Gómez²,

Rivas³

2017

IJET

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Abstract-Humanity's growing energetic demand and the need for the electric fluid coming to not interconnected zones in the world has brought with it the deployment of a huge amount of researches related to the distributed generation, the distributed energetic resources, and the smart networks. Those have been approached as mechanisms for global growth and energetic supply. Thus, this article details the researches led by a significant number of experts who have definitely generated the fundamental pillars of evolution regarding network. Moreover, when it comes to its core, where the trend, the control and the operation of the new generation schemes, they provide the change from a traditional energetic system to a sustainable energetic system. Keywords -Algorithms, renewable energy sources, distributed generation, artificial intelligence, microgrid. I. INTRODUCTION Nowadays, traditional energy systems face different types of issues such as the high amount of carbon dioxide (CO2), high generation costs, network tension variations, overloaded lines, dynamic stability issues, and service interruptions.[1], [2]. In order to face these issues, an innovative and very common approach is the generation of electric energy at a local level. This type of energy generation is called Distributed Energy (DG) and the resources that provide it are called Distributed Energetic Resources (DER) [3], [4]. In fact, due to the energy generation in proximity to the load centers, the distributed generation resources would solve the demand over the transmission networks. Today, different countries are trying to increase the penetration of distributed generation in their electronic networks. Each country attempts to use in the most appropriate way the distributed energetic resources based on its resources and conditions. Unfortunately, each DER type has its inconveniences. For example, a photovoltaic system cannot generate electricity for a continued 24h period, because its energetic source is the sun, which does not provide radiation at all times. The same applies to wind power, because the wind currents are not constant, and therefore, the required speed is not fully available for the system's continued operation. Typically, intermittence is a disadvantage of the DG resources. That is why there's a need for integrating the DER which is crucial when providing high-quality electricity and satisfying the system's demand. [5], [6].The DERs are classified into two categories: Dispatchable and not dispatchable. The first one is related to resources which output potency can be adjusted by the network operators. The second one indicates that the generated energy of the DERs cannot be adjusted by the network operators. For this last category, a particular example would the wind and solar generation units.The Microgrids (MG) are an integrated way of DER, where the loads and storage units are installed for supplying energy to small communities such as universities, hospitals, schools, towns, paths, shopping malls, as well as industrial projects. T...

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Section: A Study Casesmentioning

confidence: 99%

Distributed Energetic Resources: Trend, Control and Operation

Hernández¹,

Gómez²,

Rivas³

2017

IJET

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show abstract

“…DER-CAM (Siddiqui et al 2003) is a mixed-integer linear program (MILP) written and executed in the General Algebraic Modeling System (GAMS). Its objective is to minimize the annual costs for providing energy services to the modeled site, including utility electricity and natural gas purchases, amortized capital and annual maintenance costs for distributed generation (DG) investments.…”

Section: The Distributed Energy Resources Customer Adoption Model (Dementioning

confidence: 99%

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

Städler¹,

Marnay²,

Siddiqui³

et al. 2008

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“…The benefits of DER implementation [1] include reduction in greenhouse gas emissions and improvements in the reliability of the whole power system, by countering existing distribution constraints, deferring distribution upgrades and reducing the need for additional transmission capacity.…”

Section: Introductionmentioning

confidence: 99%