Solar industrial process heating: A review

Sharma, Ashish Kumar; Sharma, Chandan; Mullick, S.C.; Kandpal, Tara C.

doi:10.1016/j.rser.2017.04.079

Cited by 153 publications

(70 citation statements)

References 109 publications

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“…Numerous studies have been conducted over the past 40 years on the potential that solar energy can play within IPH systems [4][5][6][7][8][9]. Active interest in the topic in recent years has been motivated largely by the concern over unsustainable energy consumption, greenhouse gas emissions, and overall environmental impact of commercial and industrial sectors [10].…”

Section: Introductionmentioning

confidence: 99%

“…Attention to the feasibility of solar applications to specific industries has been made, such as: food and beverage [11], mining [12,13], agriculture [14,15], textiles [11,[16][17][18][19], pulp and paper [20,21], chemicals [22,23], and building construction materials [4], among others. Recent reviews [4,6,7,9] resolve the individual industries by their similar unit operations (e.g., drying, hot water, sterilization, etc.). Results of such studies indicate general feasibility of solar in IPH applications; however, the economic viability is extremely sensitive to the application and geographic region of the project.…”

Section: Introductionmentioning

confidence: 99%

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A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power

Stuber

2018

Processes

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A dynamic model of a concentrating solar thermal array and thermal energy storage system is presented that is differentiable in the design decision variables: solar aperture area and thermal energy storage capacity. The model takes as input the geographic location of the system of interest and the corresponding discrete hourly solar insolation data, and calculates the annual thermal and economic performance of a particular design. The model is formulated for use in determining optimal hybridization strategies for industrial process heat applications using deterministic gradient-based optimization algorithms. Both convex and nonconvex problem formulations are presented. To demonstrate the practicability of the models, they were applied to four different case studies for three disparate geographic locations in the US. The corresponding optimal design problems were solved to global optimality using deterministic gradient-based optimization algorithms. The model and optimization-based analysis provide a rigorous quantitative design and investment decision-making framework for engineering design and project investment workflows.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power

Stuber

2018

Processes

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“…Identified promising industrial sectors for solar integration are: food, beverages, paper, textile, brick and blocks, chemical, plastic and flour by products [1][2]. Similar to other developing countries, these industrial sectors dominate the Ethiopian industry [3].…”

Section: Introductionmentioning

confidence: 99%

“…The work of this paper is an attempt to address three related issues that still need a research attention. First of all, the number and fragmented nature of solar promising industrial processes have resulted in a need for a sector specific solution [1][2][6][7][8][9][10][11][12]. Then more importantly, gaining the benefits of these specific solutions requires a holistic optimization framework; an approach that considers the daily performance based on weather prediction, hot water consumption variation and temperature dynamics of the thermal system.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study

2018

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Heavy dependence on traditional fuels as well as connection to a significantly unreliable and inefficient grid (with about 20% energy loss) characterizes the Ethiopian industry. On the contrary, the country has many solar-suited industries for process heat augmentation in the low-to-medium temperature ranges. Thus, if properly designed and operated, solar thermal could give an opportunity for an efficient and cleaner alternative in these industries. This paper presents agent-based modeling (ABM) for an integrated optimization and demand side management (DSM) framework for solar-assisted industrial heating under varying load and weather condition. To demonstrate the validity and practicality of the proposed solution, a case study was conducted on Ethiopian textile industry. A payback period of 5.3 years and solar fraction of 66.7% was identified for an optimized system. Further with the implementation of DSM to guide the production policy of the industry, a 7.5% and 8.4% improvement in payback and solar fraction was achieved.

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“…However, the method has deficiencies such as insufficient heat transfer capacity, high cost, and low penetration [14]. Because of that, and under the pressure of energy savings and emission reduction, some scholars have optimized the cogeneration system from a technical point of view [15][16][17], while other scholars have introduced renewable energy such as solar energy, natural gas, and geothermal energy into the heating system to reduce environmental pollution [18][19][20]. Renewable sources represent an effective alternative to fossil fuels for preventing resources depletion and for reducing air pollution, for example, Alam et al, discussed the potential application of solar power systems for residential buildings in Barcelona in Spain and illustrated that the system can assist targeting of urban environment [21], Muniak et al, 2017 analyzed the cost of preparation of domestic hot water in a single-family home in Krakow in Poland and substantiated its economic viability [22,23].…”

Section: Introductionmentioning

confidence: 99%

Environmental and Economic Benefit Analysis of an Integrated Heating System with Geothermal Energy—A Case Study in Xi’an China

Yan

Qin

2017

Energies

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Due to the increase in environmental problems and air pollution during the heating period, it is important to promote clean heating in cold regions, thereby meeting the heating demand in a green manner. In order to allocate resources more effectively and facilitate the consumption of renewable energy, this paper designs an integrated heating system that incorporates geothermal energy into the framework of an integrated energy system of electricity, heating, and gas. An analysis of the environmental and economic benefits indicates that the system reduces pollutant emissions and decreases the cost of urban heating. Using an example of central heating of residential buildings in Xi'an, the paper conducts a scenario analysis based on the gas peak-shaving ratio and the ratio of geothermal heating loads to basic heating loads. The results demonstrate that the environmental and economic benefits of the integrated heating system are higher compared to central heating using coal-fired boilers. In addition, this paper conducts a sensitivity analysis of the heat source to the price factors and the load ratios. The results show that the operating costs of the integrated heating system are most sensitive to the natural gas price and the gas peak-shaving ratio. Therefore, an optimum natural gas peak-shaving ratio can be determined.

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Solar industrial process heating: A review

Cited by 153 publications

References 109 publications

A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power

A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power

Design Optimization and Demand Side Management of a Solar-Assisted Industrial Heating Using Agent-Based Modelling (ABM): Methodology and Case Study

Environmental and Economic Benefit Analysis of an Integrated Heating System with Geothermal Energy—A Case Study in Xi’an China

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