# heat2cool - Cooling from Waste Heat in SOFC-Powered Data Center
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Balance of plant calculations of an integrated system using the waste heat from a solid oxide fuel cell (SOFC) powered data center to cool its servers.
### Introduction
To skim on the electricity cost of traditional mechanical vapor compression air conditioner, data centers have come up with many solutions. In a cool climate, outside air can be used to cool the servers. In a hot and dry environment, evaporative cooling provides cool air by spraying outdoor air with water. Cooling tower is used to chill water for some water-cooling on top of air-cooling. However, these solutions can't be applied universally and can put a constraint in water usage.
SOFC-powered data center is poised for waste heat cooling with its large amount of medium to low grade thermal energy in the exhaust. **heat2cool** explores the integration of waste heat cooling and SOFC power generation in the basic level of energy & material balances, to better address the cooling and water consumption problem.
### Balance of plant (BoP)
The picture below explains the crux of the cooling loop.
The indoor air is evporatively cooled, cools the server rack, then the moisture is removed with desiccant to
repeate the cycle of evaporative cooling and drying.
The desiccant is regenerated using the high temperature exhaust gas of the solid oxide fuel cell.
solve_BoP.m calculates all streams denoted in the P&ID below, and determine the cooling you can derive from SOFC exhaust heat.
matching_operation.m calculates the fuel cell operation output that matches the required cooling of servers with the waste heat cooling generated by SOFC.
<p align="center">
<img src="/images/BoP.png" width="100%">
</p>
Design highlights:
* Recirculation of indoor air without introducing outdoor air.
* Water recaptured by flue gas condensation to compensate for fuel cell and evaporative cooler consumption.
### User guide
An example of using the MATLAB code is inside the jupyter notebook example.ipynb
* base_case.m to generate the base case condition or declare your own system inputs in a similar manner.
* solve_BoP.m will solve the balance of plant.
* matching_operation.m calculate the FC operation that matches the servers cooling need with the waste-heat cooling capacity.
The following information is needed (all temperature in Kelvin, all humidity is in fraction):
* Outdoor environment temperature: T_env
* Outdoor environment humidity: H_env
* Cold aisle temperature: T_cold_aisle
* Hot aisle temperature: T_hot_aisle
* Indoor humidity (based on cold aisle temperature): H_room
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使用固体氧化物燃料电池供电的数据中心的废热来冷却其服务器的集成系统的设计Matlab代码.rar
共26个文件
m:19个
ipynb:2个
txt:1个
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1.版本:matlab2014/2019a/2024a 2.附赠案例数据可直接运行matlab程序。 3.代码特点:参数化编程、参数可方便更改、代码编程思路清晰、注释明细。 4.适用对象:计算机,电子信息工程、数学等专业的大学生课程设计、期末大作业和毕业设计。
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使用固体氧化物燃料电池供电的数据中心的废热来冷却其服务器的集成系统的设计Matlab代码.rar (26个子文件)
使用固体氧化物燃料电池供电的数据中心的废热来冷却其服务器的集成系统的设计Matlab代码
heat2cool-master
supp
arial.ttf 304KB
Silica gel isotherm.ipynb 12KB
si_data.txt 676B
example.ipynb 7KB
BoP
matching_operation.m 977B
sub_function
cal_desorption_column.m 2KB
cal_cooling_tower.m 2KB
cal_enthalpy_of_vapor_water_mix.m 355B
gibbs.m 3KB
liq_or_vap.m 629B
cal_air_loop_condition.m 962B
cal_isothermal_condensation.m 1014B
SLM_to_mol_sec.m 57B
enthalpy.m 2KB
cal_FC_black_box.m 1KB
cal_T_desorp.m 2KB
cal_stream_enthalpy.m 899B
cal_isenthalpic_condensation.m 2KB
cal_adsorption_column.m 3KB
cal_yH2Osat.m 85B
cal_adsorp_desorp_cycle.m 2KB
base_case.m 736B
solve_BoP.m 5KB
images
BoP.png 76KB
BoP.eddx 52KB
README.md 3KB
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