{"id":4018,"date":"2026-02-15T01:32:47","date_gmt":"2026-02-15T09:32:47","guid":{"rendered":"https:\/\/www.tiptinker.com\/10-elite-ai-prompts-for-climate-tech-engineers-carbon-capture-modeling-analysis\/"},"modified":"2026-02-18T05:04:06","modified_gmt":"2026-02-18T13:04:06","slug":"10-elite-ai-prompts-for-climate-tech-engineers-carbon-capture-modeling-analysis","status":"publish","type":"post","link":"https:\/\/www.tiptinker.com\/zh-hans\/10-elite-ai-prompts-for-climate-tech-engineers-carbon-capture-modeling-analysis\/","title":{"rendered":"\u6c14\u5019\u6280\u672f\u5de5\u7a0b\u5e08\u5fc5\u5907\u7684 10 \u4e2a\u9ad8\u7ea7 AI \u63d0\u793a\u8bcd\uff1a\u78b3\u6355\u96c6\u5efa\u6a21\u4e0e\u5206\u6790"},"content":{"rendered":"

\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u5df2\u4ece\u7b80\u5355\u7684\u6587\u672c\u751f\u6210\u5668\u8fdb\u5316\u4e3a\u5de5\u7a0b\u9886\u57df\u5f3a\u5927\u7684\u8ba1\u7b97\u4f19\u4f34\u3002\u5bf9\u4e8e\u6c14\u5019\u6280\u672f\u5de5\u7a0b\u5e08\uff0c\u7279\u522b\u662f\u4e13\u6ce8\u4e8e\u78b3\u6355\u96c6\u3001\u5229\u7528\u4e0e\u5c01\u5b58\uff08CCUS\uff09\u7684\u4eba\u5458\u6765\u8bf4\uff0c\u8fd9\u4e9b\u5de5\u5177\u5728\u52a0\u901f\u70ed\u529b\u5b66\u5efa\u6a21\u3001\u6750\u6599\u7b5b\u9009\u548c\u6280\u672f\u7ecf\u6d4e\u8bc4\u4f30\u65b9\u9762\u63d0\u4f9b\u4e86\u524d\u6240\u672a\u6709\u7684\u80fd\u529b\u3002<\/p>\n

\u4ee5\u4e0b\u63d0\u793a\u8bcd\u7ecf\u8fc7\u4e25\u683c\u6d4b\u8bd5\uff0c\u5e76\u9488\u5bf9 ChatGPT\u3001Gemini\u3001Claude \u548c DeepSeek<\/strong> \u7b49\u4e3b\u6d41\u5927\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u4e86\u4f18\u5316\u3002\u867d\u7136 DeepSeek \u5728\u539f\u59cb\u903b\u8f91\u548c\u7f16\u7801\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0cClaude \u5728\u7ec6\u5fae\u5dee\u522b\u548c\u5b89\u5168\u6027\u8bc4\u4f30\u65b9\u9762\u66f4\u5177\u4f18\u52bf\uff0c\u4f46\u8fd9 10 \u4e2a\u63d0\u793a\u8bcd\u4e3a\u5bfb\u6c42\u4f18\u5316\u78b3\u6355\u96c6\u7cfb\u7edf\u7684\u6c14\u5019\u6280\u672f\u5de5\u7a0b\u5e08\u63d0\u4f9b\u4e86\u901a\u7528\u7684\u3001\u9ad8\u6027\u80fd\u7684\u57fa\u7840\uff0c\u4e14\u4e0d\u5c40\u9650\u4e8e\u7279\u5b9a\u5e73\u53f0\u3002<\/p>\n

\n

1. \u70ed\u529b\u5b66\u6700\u5c0f\u529f\u8ba1\u7b97<\/h3>\n

\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 DeepSeek<\/strong> \u6216 ChatGPT<\/strong>\uff08\u5f3a\u5927\u7684\u6570\u5b66\u63a8\u7406\u548c\u516c\u5f0f\u5e94\u7528\u80fd\u529b\uff09\u3002<\/p>\n

\u6b64\u63d0\u793a\u8bcd\u6709\u52a9\u4e8e\u5728\u8fdb\u884c\u6df1\u5ea6\u6a21\u62df\u524d\u9a8c\u8bc1\u5206\u79bb\u8fc7\u7a0b\u7684\u70ed\u529b\u5b66\u6781\u9650\uff0c\u4ece\u800c\u8282\u7701\u5728\u4e0d\u53ef\u884c\u8def\u5f84\u4e0a\u82b1\u8d39\u7684\u65f6\u95f4\u3002<\/p>\n

\u8bf7\u626e\u6f14\u5316\u5b66\u70ed\u529b\u5b66\u4e13\u5bb6\u3002\u6211\u9700\u8981\u8ba1\u7b97\u4ece\u70df\u9053\u6c14\u6d41\u4e2d\u6355\u96c6\u4e8c\u6c27\u5316\u78b3\u7684\u6700\u5c0f\u5206\u79bb\u529f\uff08\u5409\u5e03\u65af\u81ea\u7531\u80fd\u53d8\u5316\uff09\u3002\r\n\r\n\u8f93\u5165\u53c2\u6570\uff1a\r\n- \u6c14\u4f53\u7ec4\u6210\uff1a[\u63d2\u5165\u7ec4\u6210\uff0c\u4f8b\u5982 12% CO2, 5% O2, 83% N2]\r\n- \u6e29\u5ea6\uff1a[\u63d2\u5165\u6e29\u5ea6\uff0c\u4f8b\u5982 40\u00b0C]\r\n- \u538b\u529b\uff1a[\u63d2\u5165\u538b\u529b\uff0c\u4f8b\u5982 1 atm]\r\n- \u6355\u96c6\u7387\u76ee\u6807\uff1a[\u63d2\u5165\u76ee\u6807\uff0c\u4f8b\u5982 90%]\r\n- \u7eaf\u5ea6\u76ee\u6807\uff1a[\u63d2\u5165\u7eaf\u5ea6\uff0c\u4f8b\u5982 99%]\r\n\r\n\u8bf7\u63a8\u5bfc\u5047\u8bbe\u7406\u60f3\u6c14\u4f53\u884c\u4e3a\u4e0b\u7684\u6700\u5c0f\u5206\u79bb\u529f\u516c\u5f0f\uff0c\u8ba1\u7b97\u6bd4\u80fd\u8017\u9700\u6c42\uff08kJ\/mol CO2 \u6355\u96c6\uff09\uff0c\u5e76\u5c06\u5176\u4e0e\u5178\u578b\u7684\u80fa\u57fa\u5438\u6536\u7cfb\u7edf\u503c\u8fdb\u884c\u6bd4\u8f83\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u5feb\u901f\u5efa\u7acb\u80fd\u6548\u7684\u7406\u8bba\u57fa\u51c6\uff0c\u4ee5\u4fbf\u5c06\u5b9e\u9645\u5de5\u827a\u6027\u80fd\u4e0e\u70ed\u529b\u5b66\u6781\u9650\u8fdb\u884c\u5bf9\u6bd4\u3002<\/p>\n
2. \u751f\u6210\u5438\u9644\u5242\u7684\u52a8\u529b\u5b66\u901f\u7387\u8868\u8fbe\u5f0f<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 Claude<\/strong>\uff08\u64c5\u957f\u6280\u672f\u5199\u4f5c\u548c\u7406\u8bba\u89e3\u91ca\uff09\u6216 Gemini<\/strong>\u3002<\/p>\n
\u5728\u5904\u7406\u56fa\u4f53\u5438\u9644\u5242\uff08\u5982 MOF\u3001\u6cb8\u77f3\uff09\u65f6\uff0c\u5b9a\u4e49\u6b63\u786e\u7684\u52a8\u529b\u5b66\u6a21\u578b\u5bf9\u4e8e\u53cd\u5e94\u5668\u5c3a\u5bf8\u8bbe\u8ba1\u81f3\u5173\u91cd\u8981\u3002<\/p>\n
\u6211\u6b63\u5728\u4e3a\u78b3\u6355\u96c6\u5efa\u6a21\u53d8\u538b\u5438\u9644\uff08PSA\uff09\u5faa\u73af\u3002\u6211\u9700\u8981\u4e3a [\u63d2\u5165\u5438\u9644\u5242\u540d\u79f0\uff0c\u5982 Zeolite 13X] \u4e0a\u7684\u4e8c\u6c27\u5316\u78b3\u6444\u53d6\u5b9a\u4e49\u52a8\u529b\u5b66\u901f\u7387\u8868\u8fbe\u5f0f\u3002\r\n\r\n\u4efb\u52a1\uff1a\r\n1. \u6839\u636e\u8be5\u6750\u6599\u7684\u5b54\u9699\u7ed3\u6784\u63d0\u51fa\u6700\u5408\u9002\u7684\u52a8\u529b\u5b66\u6a21\u578b\uff08\u5982\u7ebf\u6027\u9a71\u52a8\u529b LDF\u3001\u8d39\u514b\u6269\u6563\u6a21\u578b\uff09\u3002\r\n2. \u63d0\u4f9b\u5438\u9644\u901f\u7387 (dq\/dt) \u7684\u6570\u5b66\u65b9\u7a0b\u3002\r\n3. \u5217\u51fa\u6211\u9700\u8981\u4ece TGA \u6216\u7a7f\u900f\u66f2\u7ebf\u6570\u636e\u4e2d\u62df\u5408\u7684\u5173\u952e\u4f20\u8d28\u7cfb\u6570\u3002\r\n4. \u751f\u6210\u4e00\u4e2a\u4f7f\u7528 'scipy.optimize' \u7684 Python \u51fd\u6570\u6a21\u677f\uff0c\u4ee5\u4fbf\u6211\u5c06\u5b9e\u9a8c\u6444\u53d6\u6570\u636e\u62df\u5408\u5230\u8be5\u6a21\u578b\u4e2d\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u901a\u8fc7\u751f\u6210\u7528\u4e8e\u53c2\u6570\u4f30\u7b97\u7684\u5373\u7528\u578b\u4ee3\u7801\uff0c\u5f25\u5408\u539f\u6750\u6599\u79d1\u5b66\u4e0e\u52a8\u6001\u8fc7\u7a0b\u6a21\u62df\u4e4b\u95f4\u7684\u9e3f\u6c9f\u3002<\/p>\n
3. \u6280\u672f\u7ecf\u6d4e\u5206\u6790 (TEA) \u6846\u67b6<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 ChatGPT<\/strong> \u6216 Gemini<\/strong>\uff08\u62e5\u6709\u5173\u4e8e\u7ecf\u6d4e\u56e0\u7d20\u7684\u5e7f\u6cdb\u77e5\u8bc6\u5e93\uff09\u3002<\/p>\n
\u4f30\u7b97\u6355\u96c6\u6210\u672c\u4e0e\u7269\u7406\u7279\u6027\u540c\u6837\u91cd\u8981\u3002\u6b64\u63d0\u793a\u8bcd\u53ef\u4ee5\u6784\u5efa\u4f60\u7684\u8d44\u672c\u652f\u51fa\uff08CAPEX\uff09\u548c\u8fd0\u8425\u652f\u51fa\uff08OPEX\uff09\u8ba1\u7b97\u6846\u67b6\u3002<\/p>\n
\u8bf7\u626e\u6f14 CCUS \u9886\u57df\u7684\u8fc7\u7a0b\u7ecf\u6d4e\u5b66\u5bb6\u3002\u4e3a\u4e00\u5ea7\u4ea7\u80fd\u4e3a [\u63d2\u5165\u4ea7\u80fd\uff0c\u5982 100 \u4e07\u5428\/\u5e74] \u7684 [\u63d2\u5165\u6280\u672f\uff0c\u5982\u76f4\u63a5\u7a7a\u6c14\u6355\u96c6] \u5de5\u5382\u6784\u5efa\u6280\u672f\u7ecf\u6d4e\u5206\u6790 (TEA) \u6846\u67b6\u3002\r\n\r\n\u8f93\u51fa\u4e00\u4e2a\u7ed3\u6784\u5316\u7684 Markdown \u8868\u683c\uff0c\u8be6\u7ec6\u8bf4\u660e\uff1a\r\n1. \u4e3b\u8981\u8d44\u672c\u652f\u51fa (CAPEX) \u7c7b\u522b\uff08\u8bbe\u5907\u3001\u571f\u5efa\u3001\u4e0d\u53ef\u9884\u89c1\u8d39\uff09\u3002\r\n2. \u4e3b\u8981\u8fd0\u8425\u652f\u51fa (OPEX) \u7c7b\u522b\uff08\u80fd\u6e90\u3001\u5438\u9644\u5242\u66f4\u6362\u3001\u7ef4\u62a4\uff09\u3002\r\n3. \u901a\u5e38\u9a71\u52a8\u8be5\u7279\u5b9a\u6280\u672f\u5e73\u51c6\u5316\u6355\u96c6\u6210\u672c (LCOC) \u7684\u5173\u952e\u654f\u611f\u6027\u53c2\u6570\u3002\r\n4. \u7528\u4e8e\u4ece\u8bd5\u70b9\u6570\u636e\u4f30\u7b97\u5546\u4e1a\u6210\u672c\u7684\u6807\u51c6\u201c\u653e\u5927\u56e0\u5b50\u201d\u5217\u8868\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u63d0\u4f9b\u5168\u9762\u7684\u6e05\u5355\uff0c\u786e\u4fdd\u5728\u65e9\u671f\u53ef\u884c\u6027\u7814\u7a76\u4e2d\u4e0d\u4f1a\u9057\u6f0f\u4efb\u4f55\u6210\u672c\u9a71\u52a8\u56e0\u7d20\u3002<\/p>\n
4. \u7b49\u6e29\u7ebf\u6a21\u578b\u62df\u5408\u7b56\u7565<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 DeepSeek<\/strong>\uff08\u5728\u4ee3\u7801\u751f\u6210\u548c\u7b97\u6cd5\u903b\u8f91\u65b9\u9762\u8868\u73b0\u5353\u8d8a\uff09\u3002<\/p>\n
\u9009\u62e9\u6b63\u786e\u7684\u7b49\u6e29\u7ebf\u6a21\u578b\uff08Langmuir, Freundlich, Toth\uff09\u4f1a\u5f71\u54cd\u5faa\u73af\u8bbe\u8ba1\u7684\u51c6\u786e\u6027\u3002<\/p>\n
\u6211\u6709\u4e09\u79cd\u4e0d\u540c\u6e29\u5ea6\u4e0b\u65b0\u578b\u591a\u5b54\u6750\u6599\u5bf9 CO2 \u548c N2 \u7684\u5b9e\u9a8c\u5e73\u8861\u7b49\u6e29\u7ebf\u6570\u636e\u3002\r\n\r\n\u7f16\u5199\u4e00\u4e2a\u4f7f\u7528 'pandas' \u548c 'scipy' \u7684 Python \u811a\u672c\uff1a\r\n1. \u52a0\u8f7d\u5305\u542b\u4ee5\u4e0b\u5217\u7684 CSV \u6587\u4ef6\uff1aPressure, Loading_CO2, Loading_N2\u3002\r\n2. \u5b9a\u4e49 Langmuir\u3001Freundlich \u548c Toth \u7b49\u6e29\u7ebf\u6a21\u578b\u7684\u51fd\u6570\u3002\r\n3. \u6267\u884c\u975e\u7ebf\u6027\u56de\u5f52\u4ee5\u62df\u5408\u6570\u636e\uff0c\u5e76\u63d0\u53d6\u4ea8\u5229\u5b9a\u5f8b\u5e38\u6570\u548c\u9971\u548c\u5bb9\u91cf\u3002\r\n4. \u6839\u636e\u62df\u5408\u53c2\u6570\uff0c\u4f7f\u7528\u514b\u52b3\u4fee\u65af-\u514b\u62c9\u4f69\u9f99\u65b9\u7a0b\u8ba1\u7b97\u5438\u9644\u70ed (Qst)\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u81ea\u52a8\u5316\u6570\u636e\u62df\u5408\u7684\u5e38\u89c4\u4efb\u52a1\uff0c\u63d0\u4f9b\u5173\u4e8e\u6750\u6599\u9009\u62e9\u6027\u548c\u518d\u751f\u80fd\u91cf\u9700\u6c42\u7684\u5373\u65f6\u89c1\u89e3\u3002<\/p>\n
5. Aspen Plus \/ HYSYS \u6a21\u62df\u6545\u969c\u6392\u9664<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 ChatGPT<\/strong>\uff08\u7ecf\u8fc7\u5927\u91cf\u8f6f\u4ef6\u6587\u6863\u8bad\u7ec3\uff09\u6216 Claude<\/strong>\u3002<\/p>\n
\u7531\u4e8e\u6536\u655b\u5faa\u73af\u95ee\u9898\uff0c\u8fc7\u7a0b\u6a21\u62df\u5668\u7ecf\u5e38\u8fd0\u884c\u5931\u8d25\u3002\u6b64\u63d0\u793a\u8bcd\u6709\u52a9\u4e8e\u8bca\u65ad\u95ee\u9898\u3002<\/p>\n
\u6211\u6b63\u5728 [\u63d2\u5165\u8f6f\u4ef6\uff0c\u5982 Aspen Plus] \u4e2d\u4f7f\u7528 [\u63d2\u5165\u7269\u6027\u65b9\u6cd5\uff0c\u5982 ENRTL-RK] \u6a21\u62df\u6eb6\u5242\u6cd5\u78b3\u6355\u96c6\u5faa\u73af\u3002\u6a21\u62df\u5728\u89e3\u5438\u5854\uff08stripper column\uff09\u5904\u65e0\u6cd5\u6536\u655b\u3002\r\n\r\n\u914d\u7f6e\uff1a\r\n- \u5854\u7c7b\u578b\uff1aRadFrac\r\n- \u6536\u655b\u7b97\u6cd5\uff1a\u6807\u51c6\r\n- \u5faa\u73af\u7269\u6d41\uff1a\u6fc0\u6d3b\r\n\r\n\u6839\u636e\u80fa\u6d17\u7684\u6807\u51c6\u6d41\u7a0b\u62d3\u6251\uff0c\u63d0\u4f9b\u5206\u6b65\u6545\u969c\u6392\u9664\u6307\u5357\u3002\u7279\u522b\u662f\uff0c\u8bf7\u9488\u5bf9\u5faa\u73af\u65ad\u70b9\u7269\u6d41\uff08tear stream\uff09\u63d0\u4f9b\u521d\u59cb\u5316\u7b56\u7565\uff0c\u5e76\u5efa\u8bae\u7528\u4e8e\u7a33\u5b9a\u6536\u655b\u7684\u963b\u5c3c\u56e0\u5b50\u53c2\u6570\u8c03\u6574\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u5145\u5f53\u5373\u65f6\u7684\u8d44\u6df1\u6a21\u62df\u5de5\u7a0b\u5e08\uff0c\u63d0\u4f9b\u5177\u4f53\u7684\u6536\u655b\u7b56\u7565\u4ee5\u89e3\u51b3\u505c\u6ede\u7684\u8fc7\u7a0b\u6a21\u578b\u3002<\/p>\n
6. \u751f\u547d\u5468\u671f\u8bc4\u4f30 (LCA) \u8fb9\u754c\u5b9a\u4e49<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 Claude<\/strong> \u6216 Gemini<\/strong>\uff08\u5177\u5907\u4e0a\u4e0b\u6587\u7406\u89e3\u548c\u591a\u6b65\u63a8\u7406\u80fd\u529b\uff09\u3002<\/p>\n
\u5728\u8ba1\u7b97\u4e2d\u907f\u514d\u201c\u78b3\u6cc4\u6f0f\u201d\u9700\u8981\u4e25\u683c\u7684\u8fb9\u754c\u5b9a\u4e49\u3002<\/p>\n
\u6211\u4eec\u6b63\u5728\u5bf9\u77ff\u5316\u78b3\u5c01\u5b58\u5de5\u827a\u8fdb\u884c\u201c\u4ece\u6447\u7bee\u5230\u5927\u95e8\u201d\u7684\u751f\u547d\u5468\u671f\u8bc4\u4f30 (LCA)\u3002\r\n\r\n\u4efb\u52a1\uff1a\r\n\u6839\u636e ISO 14040 \u6807\u51c6\u5b9a\u4e49\u8bc4\u4f30\u7684\u7cfb\u7edf\u8fb9\u754c\u3002\r\n1. \u660e\u786e\u5217\u51fa\u5e94\u5305\u542b\u5728\u201c\u4e0a\u6e38\u201d\uff08\u5982\u53cd\u5e94\u7269\u5f00\u91c7\uff09\u3001\u201c\u6838\u5fc3\u201d\uff08\u8fc7\u7a0b\u6392\u653e\uff09\u548c\u201c\u4e0b\u6e38\u201d\u9636\u6bb5\u7684\u5185\u5bb9\u3002\r\n2. \u8bc6\u522b\u77ff\u5316\u9879\u76ee\u4e2d\u7ecf\u5e38\u88ab\u5ffd\u89c6\u7684\u95f4\u63a5\u78b3\u6392\u653e\u6f5c\u5728\u201c\u70ed\u70b9\u201d\uff08\u5982\u7c89\u788e\u80fd\u8017\u3001\u8fd0\u8f93\uff09\u3002\r\n3. \u5efa\u8bae\u4e00\u4e2a\u529f\u80fd\u5355\u4f4d\uff0c\u4ee5\u4fbf\u5c06\u8be5\u5de5\u827a\u4e0e\u6807\u51c6\u5730\u8d28\u5c01\u5b58\u65b9\u6cd5\u8fdb\u884c\u6bd4\u8f83\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u786e\u4fdd\u4f60\u7684\u73af\u5883\u58f0\u660e\u7a33\u5065\u4e14\u7b26\u5408\u56fd\u9645\u6807\u51c6\uff0c\u9632\u6b62\u201c\u6d17\u7eff\u201d\u6307\u63a7\u3002<\/p>\n
7. \u6cd5\u89c4\u5408\u89c4\u6027\u4e0e 45Q \u7a0e\u6536\u62b5\u514d\u903b\u8f91<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 Gemini<\/strong> \u6216 Claude<\/strong>\uff08\u64c5\u957f\u5904\u7406\u6cd5\u89c4\u6587\u672c\u548c\u6761\u4ef6\uff09\u3002<\/p>\n
\u4e86\u89e3\u8d22\u52a1\u6fc0\u52b1\u63aa\u65bd\u5bf9\u4e8e\u9879\u76ee\u7684\u53ef\u884c\u6027\u81f3\u5173\u91cd\u8981\u3002<\/p>\n
\u5206\u6790\u7f8e\u56fd\u7a0e\u6cd5\u7b2c 45Q \u6761\u5173\u4e8e\u78b3\u5c01\u5b58\u7684\u7a0e\u6536\u62b5\u514d\u8981\u6c42\uff0c\u9002\u7528\u4e8e [\u63d2\u5165\u9879\u76ee\u7c7b\u578b\uff0c\u5982\u5e26\u5730\u8d28\u5c01\u5b58\u7684\u76f4\u63a5\u7a7a\u6c14\u6355\u96c6]\u3002\r\n\r\n\u521b\u5efa\u4e00\u4e2a\u201c\u5408\u89c4\u6e05\u5355\u201d\uff0c\u6db5\u76d6\uff1a\r\n1. \u6700\u4f4e\u6355\u96c6\u95e8\u69db\uff08\u516c\u5428\/\u5e74\uff09\u3002\r\n2. \u5b89\u5168\u5730\u8d28\u5c01\u5b58\uff08VI \u7c7b\u4e95\uff09\u7684\u76d1\u6d4b\u3001\u62a5\u544a\u548c\u9a8c\u8bc1 (MRV) \u8981\u6c42\u3002\r\n3. \u5229\u7528\uff08EOR\uff09\u4e0e\u4e13\u7528\u5c01\u5b58\u4e4b\u95f4\u62b5\u514d\u989d\u5ea6\u7684\u5dee\u5f02\u3002\r\n4. \u7b26\u5408\u8d44\u683c\u7684\u5f00\u5de5\u65f6\u95f4\u9650\u5236\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u5c06\u6666\u6da9\u7684\u6cd5\u5f8b\u6587\u672c\u8f6c\u5316\u4e3a\u53ef\u64cd\u4f5c\u7684\u9879\u76ee\u8981\u6c42\uff0c\u786e\u4fdd\u5de5\u7a0b\u8bbe\u8ba1\u4e0e\u8d22\u52a1\u6fc0\u52b1\u63aa\u65bd\u4fdd\u6301\u4e00\u81f4\u3002<\/p>\n
8. \u6742\u8d28\u8010\u53d7\u6027\u7684\u6750\u6599\u7b5b\u9009<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 DeepSeek<\/strong> \u6216 Gemini<\/strong>\uff08\u64c5\u957f\u7814\u7a76\u7efc\u5408\u548c\u5316\u5b66\u903b\u8f91\uff09\u3002<\/p>\n
\u73b0\u5b9e\u4e16\u754c\u7684\u70df\u9053\u6c14\u542b\u6709\u4f1a\u7834\u574f\u5b9e\u9a8c\u5ba4\u5b8c\u7f8e\u6750\u6599\u7684\u6742\u8d28\uff08SOx, NOx, H2O\uff09\u3002<\/p>\n
\u6211\u6b63\u5728\u8bc4\u4f30\u4e00\u79cd\u542b\u6709 [\u63d2\u5165\u91d1\u5c5e\u4e2d\u5fc3\uff0c\u5982\u94dc] \u548c [\u63d2\u5165\u914d\u4f53] \u7684\u91d1\u5c5e\u6709\u673a\u6846\u67b6 (MOF)\uff0c\u7528\u4e8e\u70df\u9053\u6c14\u6355\u96c6\u3002\r\n\r\n\u57fa\u4e8e\u914d\u4f4d\u5316\u5b66\u7684\u4e00\u822c\u5316\u5b66\u539f\u7406\uff1a\r\n1. \u9884\u6d4b\u8be5 MOF \u5728\u6c34\u84b8\u6c14\u548c\u9178\u6027\u6c14\u4f53\uff08SOx, NOx\uff09\u5b58\u5728\u4e0b\u7684\u7a33\u5b9a\u6027\u3002\r\n2. \u89e3\u91ca\u53ef\u80fd\u7684\u964d\u89e3\u673a\u5236\uff08\u5982\u914d\u4f53\u7f6e\u6362\u3001\u6c34\u89e3\uff09\u3002\r\n3. \u5efa\u8bae 3 \u79cd\u66ff\u4ee3\u6750\u6599\u7c7b\u522b\u6216\u529f\u80fd\u5316\u7b56\u7565\uff08\u5982\u7a7a\u95f4\u5c4f\u853d\uff09\uff0c\u4ee5\u63d0\u9ad8\u5bf9\u6f6e\u6e7f\u9178\u6027\u6c14\u6d41\u7684\u7a33\u5b9a\u6027\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u5728\u6295\u5165\u6602\u8d35\u7684\u5b9e\u9a8c\u5ba4\u5408\u6210\u548c\u6d4b\u8bd5\u4e4b\u524d\uff0c\u5bf9\u6750\u6599\u8fdb\u884c\u5feb\u901f\u98ce\u9669\u8bc4\u4f30\u3002<\/p>\n
9. \u52a8\u6001\u7a7f\u900f\u6a21\u62df\u7684 Python \u811a\u672c<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 DeepSeek<\/strong> \u6216 ChatGPT<\/strong>\uff08\u9ad8\u6c34\u5e73\u7f16\u7a0b\u80fd\u529b\uff09\u3002<\/p>\n
\u4ece\u5e73\u8861\u6570\u636e\u8f6c\u5411\u52a8\u6001\u6027\u80fd\u9700\u8981\u6c42\u89e3\u504f\u5fae\u5206\u65b9\u7a0b (PDE)\u3002<\/p>\n
\u7f16\u5199\u4e00\u4e2a Python \u811a\u672c\u6765\u6a21\u62df\u4e00\u7ef4\u5438\u9644\u67f1\u7a7f\u900f\u66f2\u7ebf\u3002\r\n\r\n\u8981\u6c42\uff1a\r\n- \u4f7f\u7528\u76f4\u7ebf\u6cd5 (MOL) \u5bf9\u7a7a\u95f4\u57df\u8fdb\u884c\u79bb\u6563\u5316\u3002\r\n- \u6c42\u89e3\u8d28\u91cf\u5e73\u8861\u504f\u5fae\u5206\u65b9\u7a0b (PDE)\uff1a\u2202C\/\u2202t + u*\u2202C\/\u2202z + ((1-\u03b5)\/\u03b5)*\u03c1*\u2202q\/\u2202t = Dax*\u2202\u00b2C\/\u2202z\u00b2\r\n- \u5047\u8bbe\uff1a\u7b49\u6e29\u64cd\u4f5c\u3001\u52a8\u529b\u5b66\u91c7\u7528\u7ebf\u6027\u9a71\u52a8\u529b (LDF) \u6a21\u578b\u3001\u5e73\u8861\u91c7\u7528 Langmuir \u7b49\u6e29\u7ebf\u3002\r\n- \u4ee3\u7801\u5e94\u7ed8\u5236\u67f1\u51fa\u53e3\u5904\u6d53\u5ea6 (C\/C0) \u968f\u65f6\u95f4\u7684\u53d8\u5316\u66f2\u7ebf\u3002\r\n- \u5bf9\u4ee3\u7801\u8fdb\u884c\u8be6\u7ec6\u6ce8\u91ca\uff0c\u89e3\u91ca\u79bb\u6563\u5316\u6b65\u9aa4\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u63d0\u4f9b\u529f\u80fd\u6027\u6a21\u62df\u539f\u578b\uff0c\u7528\u4e8e\u9884\u6d4b\u5438\u9644\u5e8a\u5728\u9971\u548c\u524d\u7684\u6301\u7eed\u65f6\u95f4\uff0c\u8fd9\u5bf9\u4e8e\u8bbe\u5907\u5c3a\u5bf8\u8bbe\u8ba1\u81f3\u5173\u91cd\u8981\u3002<\/p>\n
10. \u819c\u5de5\u827a\u591a\u7ea7\u4f18\u5316<\/h3>\n
\u63a8\u8350\u6a21\u578b\uff1a<\/strong> \u9996\u9009 DeepSeek<\/strong>\uff08\u903b\u8f91\/\u4f18\u5316\uff09\u6216 Claude<\/strong>\u3002<\/p>\n
\u5355\u7ea7\u819c\u5f88\u96be\u8fbe\u5230\u7eaf\u5ea6\u76ee\u6807\u3002\u6b64\u63d0\u793a\u8bcd\u6709\u52a9\u4e8e\u8bbe\u8ba1\u7ea7\u8054\u7cfb\u7edf\u3002<\/p>\n
\u6211\u9700\u8981\u8bbe\u8ba1\u4e00\u4e2a\u591a\u7ea7\u819c\u7cfb\u7edf\uff0c\u4ee5\u4fbf\u4ece 10% CO2 \u7684\u8fdb\u6599\u4e2d\u8fbe\u5230 95% \u7684 CO2 \u7eaf\u5ea6\u3002\r\n\r\n\u4efb\u52a1\uff1a\r\n1. \u6982\u8ff0\u4e8c\u7ea7\u914d\u7f6e\u4e0e\u5e26\u5faa\u73af\u7684\u4e8c\u7ea7\u914d\u7f6e\u7684\u67b6\u6784\u3002\r\n2. \u89e3\u91ca\u7b2c\u4e00\u7ea7\u201c\u9636\u6bb5\u5207\u5272\u7387\u201d\uff08Stage Cut\uff09\u4e0e\u6e17\u900f\u7269\u7eaf\u5ea6\u4e4b\u95f4\u7684\u6743\u8861\u3002\r\n3. \u63d0\u4f9b\u4e00\u79cd\u542f\u53d1\u5f0f\u903b\u8f91\uff0c\u7528\u4e8e\u786e\u5b9a\u819c\u4e24\u4fa7\u7684\u6700\u4f73\u538b\u529b\u6bd4\uff0c\u4ee5\u5728\u4fdd\u6301\u9a71\u52a8\u529b\u7684\u540c\u65f6\u6700\u5c0f\u5316\u538b\u7f29\u529f\u3002\r\n<\/code><\/pre>\n
\u6536\u76ca\uff1a<\/strong> \u4f18\u5316\u819c\u7ea7\u8054\u7cfb\u7edf\u4e2d\u8d44\u672c\u80fd\u529b\uff08\u819c\u9762\u79ef\uff09\u4e0e\u8fd0\u8425\u6210\u672c\uff08\u538b\u7f29\u80fd\u8017\uff09\u4e4b\u95f4\u7684\u6743\u8861\u3002<\/p>\n
\n
\u4e13\u5bb6\u6280\u5de7\uff1a\u5de5\u7a0b\u9886\u57df\u7684\u4e0a\u4e0b\u6587\u6ce8\u5165<\/h3>\n
\u5728\u4f7f\u7528 AI \u8fdb\u884c\u590d\u6742\u5efa\u6a21\u65f6\uff0c\u63d0\u793a\u8bcd\u94fe\uff08Prompt Chaining\uff09<\/strong>\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u4e0d\u8981\u8bd5\u56fe\u4e00\u6b21\u6027\u83b7\u5f97\u6700\u7ec8\u7b54\u6848\u3002\u9996\u5148\uff0c\u8981\u6c42 AI \u201c\u6982\u8ff0\u5047\u8bbe\u201d\u3002\u4e00\u65e6\u4f60\u9a8c\u8bc1\u4e86\u5047\u8bbe\uff08\u4f8b\u5982\u7406\u60f3\u6c14\u4f53 vs. Peng-Robinson\uff09\uff0c\u518d\u5c06\u786e\u8ba4\u4fe1\u606f\u53cd\u9988\u5230\u4e0b\u4e00\u4e2a\u63d0\u793a\u8bcd\u4e2d\uff1a<\/em>\u201c\u5047\u8bbe\u6b63\u786e\u3002\u73b0\u5728\uff0c\u4f7f\u7528 Peng-Robinson \u72b6\u6001\u65b9\u7a0b\uff0c\u7ee7\u7eed\u6267\u884c\u7b2c 2 \u6b65\u2026\u2026\u201d* \u8fd9\u4f1a\u8feb\u4f7f\u6a21\u578b\u9075\u5b88\u4e25\u8c28\u7684\u5de5\u7a0b\u7ea6\u675f\uff0c\u800c\u4e0d\u662f\u51ed\u7a7a\u4ea7\u751f\u901a\u7528\u7684\u56de\u7b54\u3002<\/p>\n
\n
\u4ece\u7406\u8bba\u5316\u5b66\u5411\u90e8\u7f72\u6c14\u5019\u57fa\u7840\u8bbe\u65bd\u7684\u8f6c\u53d8\u9700\u8981\u901f\u5ea6\u548c\u7cbe\u5ea6\u3002\u901a\u8fc7\u5c06\u8fd9\u4e9b\u63d0\u793a\u8bcd\u96c6\u6210\u5230\u4f60\u7684\u5de5\u4f5c\u6d41\u7a0b\u4e2d\uff0c\u4f60\u53ef\u4ee5\u5c06\u8ba4\u77e5\u8d1f\u8377\u4ece\u5e38\u89c4\u7684\u8bed\u6cd5\u548c\u516c\u5f0f\u63a8\u5bfc\u8f6c\u79fb\u5230\u9ad8\u5c42\u7cfb\u7edf\u67b6\u6784\u548c\u5173\u952e\u5206\u6790\u4e0a\u3002\u638c\u63e1\u8fd9\u4e9b\u4ea4\u4e92\u6280\u5de7\uff0c\u4f60\u5c31\u80fd\u5c06\u901a\u7528\u7684 AI \u6a21\u578b\u8f6c\u53d8\u4e3a\u968f\u4f60\u7684\u96c4\u5fc3\u58ee\u5fd7\u5171\u540c\u6210\u957f\u7684\u4e13\u4e1a\u5de5\u7a0b\u52a9\u624b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u5df2\u4ece\u7b80\u5355\u7684\u6587\u672c\u751f\u6210\u5668\u8fdb\u5316\u4e3a\u5de5\u7a0b\u9886\u57df\u5f3a\u5927\u7684\u8ba1\u7b97\u4f19\u4f34\u3002\u5bf9\u4e8e\u6c14\u5019\u6280\u672f\u5de5\u7a0b\u5e08\uff0c\u7279\u522b\u662f\u4e13\u6ce8\u4e8e\u78b3\u6355\u96c6\u3001\u5229\u7528\u4e0e\u5c01\u5b58\uff08CCUS\uff09\u7684\u4eba\u5458\u6765\u8bf4\uff0c\u8fd9\u4e9b\u5de5\u5177\u5728\u52a0\u901f\u70ed\u529b\u5b66\u5efa\u6a21\u3001\u6750\u6599\u7b5b\u9009\u548c\u6280\u672f\u7ecf\u6d4e\u8bc4\u4f30\u65b9\u9762\u63d0\u4f9b\u4e86\u524d\u6240\u672a\u6709\u7684\u80fd\u529b\u3002 \u4ee5\u4e0b\u63d0\u793a\u8bcd\u7ecf\u8fc7\u4e25\u683c\u6d4b\u8bd5\uff0c\u5e76\u9488\u5bf9 ChatGPT\u3001Gemini\u3001Claude \u548c DeepSeek \u7b49\u4e3b\u6d41\u5927\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u4e86\u4f18\u5316\u3002\u867d\u7136 DeepSeek \u5728\u539f\u59cb\u903b\u8f91\u548c\u7f16\u7801\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0cClaude \u5728\u7ec6\u5fae\u5dee\u522b\u548c\u5b89\u5168\u6027\u8bc4\u4f30\u65b9\u9762\u66f4\u5177\u4f18\u52bf\uff0c\u4f46\u8fd9 10 \u4e2a\u63d0\u793a\u8bcd\u4e3a\u5bfb\u6c42\u4f18\u5316\u78b3\u6355\u96c6\u7cfb\u7edf\u7684\u6c14\u5019\u6280\u672f\u5de5\u7a0b\u5e08\u63d0\u4f9b\u4e86\u901a\u7528\u7684\u3001\u9ad8\u6027\u80fd\u7684\u57fa\u7840\uff0c\u4e14\u4e0d\u5c40\u9650\u4e8e\u7279\u5b9a\u5e73\u53f0\u3002 1. \u70ed\u529b\u5b66\u6700\u5c0f\u529f\u8ba1\u7b97 \u63a8\u8350\u6a21\u578b\uff1a \u9996\u9009 DeepSeek \u6216 ChatGPT\uff08\u5f3a\u5927\u7684\u6570\u5b66\u63a8\u7406\u548c\u516c\u5f0f\u5e94\u7528\u80fd\u529b\uff09\u3002 \u6b64\u63d0\u793a\u8bcd\u6709\u52a9\u4e8e\u5728\u8fdb\u884c\u6df1\u5ea6\u6a21\u62df\u524d\u9a8c\u8bc1\u5206\u79bb\u8fc7\u7a0b\u7684\u70ed\u529b\u5b66\u6781\u9650\uff0c\u4ece\u800c\u8282\u7701\u5728\u4e0d\u53ef\u884c\u8def\u5f84\u4e0a\u82b1\u8d39\u7684\u65f6\u95f4\u3002 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