Spacing Analysis of an Inclined Solar Collector Field

Author(s):  
S. B. Sadineni ◽  
R. F. Boehm ◽  
R. Hurt

Spacing between the adjacent collectors in a solar field is an important parameter which effects the shading and hence the energy conversion from collectors. Land value has an important bearing on the spacing between the collectors. A computer code has been developed to predict the change in incident energy on the collectors for various spacing distances between them. The code couples general shading models with the local weather data (TMY2). This can be used to calculate shadow area on the collectors from their adjacent collectors for different times of the day for various spacing distances. Variation of shadow area of the collectors for various spacing distances is presented for various time periods. It has been observed that near sunrise and sunset the percent shading area of a system is generally higher, but its influence on the overall energy collection is relatively less due to the decreased solar insolation available during those times of the day. The variation of annual energy received for various spacing distances is presented. Results are given for locations in the Southwestern region of the US including Las Vegas, Phoenix and Albuquerque. Economic implications of these results are discussed.

1989 ◽  
Vol 111 (3) ◽  
pp. 193-203
Author(s):  
James A. Dirks ◽  
Clement J. Chiang

Typically, solar thermal power plants are designed to minimize the levelized energy cost. However, to maximize the benefit of a solar plant and, hence, maximize the wealth of an investor or a utility, a solar plant should be designed and operated with the objective of maximizing the value-to-cost ratio. This paper describes a value and cost analysis of solar central receiver power plants using molten salt external receiver technology. These plants were assumed to operate within the service area of the Southern California Edison Company. The SOLERGY computer code was used to simulate the performance of the solar plants using 1984 weather data for Barstow, California. A value-maximizing dispatch strategy that uses thermal storage to shift operation of the turbine from nonpeak demand periods to the utility’s peak demand period, is shown to greatly increase the value of a solar central receiver power plant with little increase in the levelized energy cost. Results are presented as functions of storage capacity, type of dispatch strategy, size of the field relative to the turbine, and turbine size.


2019 ◽  
Vol 653 ◽  
pp. 1262-1271 ◽  
Author(s):  
Feng-Yi Lin ◽  
Kuo-Tsang Huang ◽  
Tzu-Ping Lin ◽  
Ruey-Lung Hwang
Keyword(s):  

2021 ◽  
Vol 12 (4) ◽  
pp. 1371-1391
Author(s):  
Raed Hamed ◽  
Anne F. Van Loon ◽  
Jeroen Aerts ◽  
Dim Coumou

Abstract. The US agriculture system supplies more than one-third of globally traded soybean, and with 90 % of US soybean produced under rainfed agriculture, soybean trade is particularly sensitive to weather and climate variability. Average growing season climate conditions can explain about one-third of US soybean yield variability. Additionally, crops can be sensitive to specific short-term weather extremes, occurring in isolation or compounding at key moments throughout crop development. Here, we identify the dominant within-season climate drivers that can explain soybean yield variability in the US, and we explore the synergistic effects between drivers that can lead to severe impacts. The study combines weather data from reanalysis and satellite-informed root zone soil moisture fields with subnational crop yields using statistical methods that account for interaction effects. On average, our models can explain about two-thirds of the year-to-year yield variability (70 % for all years and 60 % for out-of-sample predictions). The largest negative influence on soybean yields is driven by high temperature and low soil moisture during the summer crop reproductive period. Moreover, due to synergistic effects, heat is considerably more damaging to soybean crops during dry conditions and is less problematic during wet conditions. Compounding and interacting hot and dry (hot–dry) summer conditions (defined by the 95th and 5th percentiles of temperature and soil moisture respectively) reduce yields by 2 standard deviations. This sensitivity is 4 and 3 times larger than the sensitivity to hot or dry conditions alone respectively. Other relevant drivers of negative yield responses are lower temperatures early and late in the season, excessive precipitation in the early season, and dry conditions in the late season. We note that the sensitivity to the identified drivers varies across the spatial domain. Higher latitudes, and thus colder regions, are positively affected by high temperatures during the summer period. On the other hand, warmer southeastern regions are positively affected by low temperatures during the late season. Historic trends in identified drivers indicate that US soybean production has generally benefited from recent shifts in weather except for increasing rainfall in the early season. Overall, warming conditions have reduced the risk of frost in the early and late seasons and have potentially allowed for earlier sowing dates. More importantly, summers have been getting cooler and wetter over the eastern US. Nevertheless, despite these positive changes, we show that the frequency of compound hot–dry summer events has remained unchanged over the 1946–2016 period. In the longer term, climate models project substantially warmer summers for the continental US, although uncertainty remains as to whether this will be accompanied by drier conditions. This highlights a critical element to explore in future studies focused on US agricultural production risk under climate change.


1954 ◽  
Vol 35 (7) ◽  
pp. 301-309 ◽  
Author(s):  
William Donn ◽  
Richard Rommer ◽  
Frank Press ◽  
Maurice Ewing

Records from sensitive microbarovariographs installed at Palisades, N. Y., Columbia University in New York City, U. S. Merchant Marine Academy, Kings Point, L. I. have been studied in connection with synoptic and local weather data. A number of interesting pressure events have been noted in connection with the passage of certain synoptic situations, These include pressure pump lines, squall lines, cold fronts and thunderstorms. Low level turbulence or convection associated with certain air masses at certain times is well-recorded by short-period pressure variations. Conclusions regarding the origin of squall lines are drawn from the empirical evidence given.


Author(s):  
Asif Salim ◽  
Raid Khan ◽  
Zikriya

The competition among the regional stake-holders cannot be neglected because they can sabotage the peace process by delaying the focused intra-afghan dialogue. It is, therefore, argued that only Afghans can dilute the influence of external actors and keep them away from interfering in the internal politics of Afghanistan. Without the active participation of Pakistan objectives for durable and long-standing peace cannot be achieved. Pakistan not only provided its good-offices for the negotiation between the parties at different forums but also influenced and persuaded the Taliban factions for negotiations. The question arises that what will be the implications of this deal on Pakistan and how it can play plank the fruitful outcomes from this deal. The results shows that the deal between the US and Taliban has deep-down strategic and economic implications on Pakistan and with better strategy Pakistan can create win-win situation for the other regional stakeholders.  Furthermore, the current research is qualitative in nature in which the empirical data and popular literature have critically analyzed to understand the peace agreement in Afghanistan with its different dimensions and perspectives. Policy recommendations are the part of discussion, however paper focuses fundamentally on possible ramifications of Doha peace deal.


2018 ◽  
Vol 12 (4) ◽  
pp. 257-270
Author(s):  
Jeanette J. Varela ◽  
Christine M. Anderson‐Cook ◽  
Brian P. Weaver ◽  
Lawrence O. Ticknor ◽  
Cary B. Skidmore
Keyword(s):  

2020 ◽  
Vol 34 (2) ◽  
pp. 215-236
Author(s):  
Ofer H. Azar

Tipping involves dozens of billions of dollars annually in the US alone and is a major income source for millions of workers. But beyond its economic importance and various economic implications, tipping is also a unique economic phenomenon in that people pay tips voluntarily without any legal obligation. Tipping demonstrates that psychological and social motivations can be a substantial reason for economic behavior, and that economic models should go beyond a selfish economic agent who has no feelings in order to capture the full range of economic activities. This article discusses some aspects of tipping, with an emphasis on economic issues: the history of tipping, the main reasons for tipping, why tipping could be a welfare-increasing and sustainable social norm, the relationship between tipping and service quality, how tipping represents a struggle over rents, and issues of discrimination and sexual harassment related to tipping.


Author(s):  
Manuel Ibañez ◽  
William A. Beckman ◽  
Sanford A. Klein

Abstract The clearness index for hourly and daily radiation is an important parameter in describing solar radiation. Liu and Jordan demonstrated that the monthly average daily clearness index could be used to predict the long-term distribution of daily solar radiation in a month. This paper reviews recent literature on the prediction of hourly and daily frequency distributions and cumulative frequency distributions of clearness indices. Ten years of measured weather data for six cities in the US are used to investigate the nature of the hourly and daily frequency distributions. A second set of ten years of data for six cities is used to verify the predictions. A bi-exponential probability density function is proposed that fits the observed bimodal nature of the data better than existing models. A case is made for the function being universal.


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