CALCULATION OF INDICATORS AND COST CORRECTION FOR WIND-PV COUPLED GREEN AMMONIA PARKS

Authors

  • DeZhou Jing School of Rail Transportation, Southwest Jiaotong University Hope College, Chengdu 610400, Sichuan, China.
  • Jie Ren (Corresponding Author) School of Rail Transportation, Southwest Jiaotong University Hope College, Chengdu 610400, Sichuan, China.
  • HaoWen Yang School of Rail Transportation, Southwest Jiaotong University Hope College, Chengdu 610400, Sichuan, China.
  • JiaQi Shi School of Rail Transportation, Southwest Jiaotong University Hope College, Chengdu 610400, Sichuan, China.

Keywords:

Wind-PV coupling, Direct green power connection, Green ammonia park, Power balance, Ammonia unit cost correction

Abstract

Against the background of the dual carbon strategy, wind-PV directly connected ammonia parks serve as a vital way to ease renewable energy curtailment and accelerate the low-carbon transformation of chemical industry. Conventional ammonia cost calculation methods only count grid purchase and feed-in revenue while ignoring inherent depreciation costs of wind and PV power, which leads to serious distortion of economic evaluation results. To accurately judge park compliance and real production cost, this paper adopts hour-by-hour power balance analysis to quantify three mandatory green power indicators based on typical daily wind-solar time-series data. This paper redefines the splitting rule of self-consumed wind and PV electricity, and establishes a full-caliber revised ammonia cost model incorporating wind and PV levelized power costs, making up the cost omission defect of traditional accounting frameworks. Numerical results prove that the self-consumption rate and green electricity proportion meet industrial standards, while excess daytime PV output pushes the grid feed-in ratio beyond the limit. Time-series power curves visually verify that the time mismatch between PV generation and ammonia load is the root cause of excessive online power. After correction, the unit ammonia cost rises by 69% compared with traditional calculation, and wind-PV self-consumption cost accounts for over 40% of total operation expenditure. The proposed indicator measurement and cost correction model features clear logic and good adaptability to engineering time-series data, delivering a standardized quantitative paradigm for compliance judgment and economic assessment of similar green ammonia parks.

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Published

2026-07-30

Issue

Section

Research Article

DOI:

How to Cite

DeZhou Jing, Jie Ren, HaoWen Yang, JiaQi Shi. Calculation Of Indicators And Cost Correction For Wind-Pv Coupled Green Ammonia Parks. World Journal of Engineering Research. 2026, 4(6): 1-5. DOI: https://doi.org/10.61784/wjer3118.