minor improvement

docs/tutorial/Comparative_techno-economic_analysis.ipynb

@@ -8,7 +8,6 @@
     "\n",
     "Techno-economic analyses (TEAs) of emerging and conceptual technologies rarely provide a good estimate of economic viability. In fact, economic indicators are largely overly optimistic due to biased assumptions and unforeseen expenses. The real power of early-stage TEA is the ability to **compare** technologies under harmonized assumptions and establish key **performance targets** that technologies need to meet for market competitiveness. Performing comparative techno-economic analysis under harmonized assumptions, however, can be challenging due to the complexity of managing many biorefinery codes/files. In this chapter, we demonstrate how BioSTEAM can facilitate the evaluation and comparison of many configuration **scenarios** through ProcessModel objects.\n",
     "\n",
-    "As a demonstrative case study, we will perform economic analysis of cellulosic ethanol production for two alternative biorefinery configurations: one processing corn stover with dilute acid pretreatment [1] and another processing switch grass with AFEX pretreatment [2]. For simplicity, assumptions on fermentation performance in the switch grass biorefinery are the same as in the corn stover biorefinery.\n",
     "\n",
     "## Process models\n",
     "\n",
@@ -63,12 +62,16 @@
     "    self.cache[scenario] = self\n",
     "    return self\n",
     "\n",
-    "```"
+    "```\n",
+    "\n",
+    "## Cellulosic ethanol production\n",
+    "\n",
+    "As a demonstrative case study, we will perform economic analysis of cellulosic ethanol production for two alternative biorefinery configurations: one processing corn stover with dilute acid pretreatment [1] and another processing switch grass with AFEX pretreatment [2]. For simplicity, assumptions on fermentation performance in the switch grass biorefinery are the same as in the corn stover biorefinery."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [