{'fraction_non_alphanumeric': 0.019591141396933562, 'fraction_numerical': 0.0, 'mean_word_length': 5.25, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Energy Optimization Study of Rural Deep Well Two-Stage Water Supply Pumping Station

An optimal mathematical model studying the large number of distributed water supply systems powered by a two-stage pump station is discussed in this paper. Considering rural water demand and time-of-use electricity pricing, which will have an impact on operation cost, a mathematical model is established to minimize the electricity consumption of system operation. An improved dynamic programming algorithm (IDPA) is achieved in optimal control of the system that shows the advantage of reducing the cost of electricity consumption through the application of a rural deep well water supply system at a high-altitude area. In the simulations, the IDPA can significantly reduce the energy cost, compared with a conventional water level control approach. And it also displays the advantage of the reduction in the computational time compared with the branch-and-bound algorithm. The result of the application shows a successful energy optimization model. The study could be a useful solution for energy saving in municipal engineering, including water supply, sewage treatment, and drainage.