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Mehos, Mark S.

Publications and source records attributed to Mehos, Mark S..

Receivers for concentrating solar power generation

A device is describe for collecting energy in electromagnetic radiation, where the device includes a first panel that includes a first height, a first end, and a second end such that a first length is defined between the first end and the second end. The device further includes a second panel that includes a second height, a third end, and a fourth end such that a second length is defined between the third end and the fourth end. In addition, the first height and the second height are substantially parallel to a reference axis, the first end and the third end intersect to form a leading edge that is substantially parallel to the reference axis, and the first panel and the second panel form a channel positioned between the first panel and the second panel. Further, the channel is configured for the flow of a first heat-transfer medium through the channel, and at least a part of the first panel and at least a part of the second panel are configured to absorb electromagnetic radiation to transfer energy from the electromagnetic radiation to the first heat-transfer medium.

Ma, Zhiwen↗

CSP Systems Analysis - Final Project Report

The CSP Systems Analysis project was a three-year effort supporting the Concentrating Solar Power (CSP) Subprogram within the Solar Energy Technologies Office of the U.S. Department of Energy (DOE). The goal of the CSP Systems Analysis project was to provide timely and accurate CSP cost data to the DOE and predict performance and cost for emerging technologies that may impact research directions and industry investment. The project consisted of six, mostly independent tasks. Major accomplishments over the three-year period of performance were as follows. The NREL team maintained current cost estimates for CSP technologies by annual updates to the cost input parameters within NREL's System Advisor Model (SAM). SAM is a performance and cost simulation software that includes technology models for the primary CSP technologies. During the period from 2016 to 2018, the estimated cost within SAM's default CSP molten-salt power tower technology dropped from 13.0 to 11.1 cent/kWh (real dollars without incentives). Power cycle models for the supercritical carbon dioxide (sCO2) Brayton Cycle were developed and made an option within SAM's molten-salt power tower model. These models were subsequently used to evaluate the cost reduction potential of alternative salts. The partial-cooling model was found to provide the greatest cost-reduction potential due to its combination of efficiency and temperature differential across the turbine and thermal energy storage (TES) system. These studies were documented in two journal articles. NREL's optical modeling software SolTrace and SolarPILOT were made more versatile and released as open-source software to the CSP community. These tools help researchers and developers to model and optimize the optical performance of CSP collector systems. The new features were highlighted in a recorded webinar that can be accessed from the NREL SAM website. New models for solar-thermal systems, that is, applications for solar industrial process heat, were developed, validated, and installed within SAM. The analysis includes a 2018 review of linear collectors in the market that are tailored for solar process heat applications. In 2018 the NREL team also developed an annual simulation for a direct steam generation system integrated with a latent-heat TES system. This analysis was submitted for journal publication. The NREL team continued to support the exchange of information and development of CSP guidelines within the international CSP community of SolarPACES. Much of the work under this project was presented at SolarPACES, including the development of a modeling checklist to help CSP stakeholders standardize the models used for estimating CSP performance and cost. The CSP Systems Analysis project also supported DOE requests for tracking and reporting programmatic targets for the CSP Subprogram.

14 SOLAR ENERGY↗

The Potential Role of Concentrating Solar Power within the Context of DOE's 2030 Solar Cost Targets

To continue the momentum for cost reduction in solar technologies, DOE recently established 2030 cost targets for that would make solar one of the lowest-cost sources of new electricity in the United States. The potential impacts of achieving the 2030 cost targets for solar photovoltaics (PV) were recently explored in a related publication, which found significant potential for solar PV deployment and generation, particularly when coupled with low-cost storage. Building on this previous report, the present analysis evaluates the potential impacts of simultaneously achieving the 2030 cost targets for both PV and concentrating solar power with thermal energy storage (CSP-TES) systems in the contiguous United States, with a detailed evaluation of the role that CSP-TES plays in realizing those impacts. The evolution of the contiguous U.S. electricity system is evaluated with NREL's Renewable Energy Deployment System (ReEDS) model, which has been specifically designed to represent the time and locational value of renewable generation technologies in the U.S. power system. This analysis suggests achievement of the SunShot cost targets for CSP-TES might lead to dramatic growth in CSP-TES capacity, with accelerated deployment after the 2030 target is achieved. Based on our representation of the 2030 cost targets in ReEDS, economically-competitive CSP-TES could primarily be deployed in a dispatch able, high-capacity factor configuration, which allows it to provide valuable services to the power sector and results in a generation profile for CSP-TES that is complementary to that of variable PV. Aggressive cost reductions for CSP-TES could also make such a configuration economically competitive across the contiguous United States, which is a a result that warrants additional analysis in terms of potential siting, permitting, regulatory, and construction challenges in these new regions and markets. The modeled capacity expansion of both CSP-TES and PV in our scenarios that achieve the 2030 cost targets requires most growth in transmission capacity at a pace that is consistent with historical buildout rates, and could result in reduced electricity prices and power system costs, water usage, and air emissions. Finally, sensitivity analysis suggests that the cumulative capacity and geographic extent of CSP-TES deployment in our low-cost solar scenarios is highly sensitive to the post-2030 cost reductions for CSP-TES and future price of natural gas, and that significant competition exists among renewable energy and energy storage technologies, assuming aggressive cost reductions for each. For example, significant competition between CSP-TES and PV with battery storage indicates the similar role that these systems play in capacity planning and grid operations, as well as the fact that low-cost battery storage would help improve the capacity value of low-cost PV into the future.

14 SOLAR ENERGY↗

A Guide to Implementing Concentrating Solar Power in Production Cost Models

Concentrating solar power (CSP) is a unique form of renewable energy because it can be integrated with thermal energy storage (TES). CSP-TES can provide value to the power grid by supplying a dispatchable source of renewable energy and potentially other grid services such as operating reserves. These characteristics of CSP-TES are often incompletely captured in utility-planning or technology-valuation analyses. We describe an approach for representing the dispatchability of CSP-TES accurately in production cost models, while considering the resource-dependent nature of the technology. We also discuss the challenge of properly representing the ability of CSP-TES to provide operating reserves because of the technology's energy-limited nature. We apply our modeling methods to illustrate how the value of providing dispatchable energy and ancillary services can be captured together and independently. This approach can be applied to most commercial, academic, and open-source production cost models to value CSP-TES appropriately in power system planning studies.

14 SOLAR ENERGY↗